Accepted Papers

Friendly Conditional Text Generator

Noriaki Kawamae (NTT Comware)*

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

Lingyue Fu (Shanghai Jiao Tong University); Jianghao Lin (Shanghai Jiao Tong University)*; Weiwen Liu (Huawei Noah's Ark Lab); Ruiming Tang (Huawei Noah's Ark Lab); Weinan Zhang (Shanghai Jiao Tong University); Rui Zhang (; Yong Yu (Shanghai Jiao Tong University)

Towards Universal Cross-Domain Recommendation

Jiangxia Cao (Institute of Information Engineering, Chinese Academy of Sciences)*; Shaoshuai Li (Ant Group); Bowen Yu (Alibaba, DAMO Academy); xiaobo guo (antgroup); Tingwen Liu (Institute of Information Engineering, CAS); Bin Wang (Xiaomi AI Lab)

Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering

Chakib Fettal (Université de Paris)*; Lazhar Labiod (Centre Borelli, Université de Paris-Cité); Mohamed Nadif (Centre Borelli - Université Paris Cité)

Active Ensemble Learning for Knowledge Graph Error Detection

Junnan Dong (The Hong Kong Polytechnic University); Qinggang Zhang (The Hong Kong Polytechnic University); Xiao Huang (The Hong Kong Polytechnic University)*; Qiaoyu Tan (Texas A&M University); Daochen Zha (Rice University); ZHAO ZIHAO (Hong Kong Polytechnic University)

Robust Training of Graph Neural Networks via Noise Governance

Siyi Qian (Zhejiang University)*; Haochao Ying (Zhejiang University); Renjun Hu (Alibaba Group); jingbo zhou (Baidu Research); Jintai Chen (Zhejiang University); Danny Z Chen (University of Notre Dame); Jian Wu (Zhejiang University)

Dependency-aware Self-training for Entity Alignment

Bing Liu (The University of Queensland)*; Tiancheng Lan (The University of Queensland); Wen Hua (The University of Queensland); Guido Zuccon (The University of Queensland)

Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation

Xuanhao Chen (University of Electronic Science and Technology of China)*; Liwei Deng (University of Electronic Science and Technology of China); Yan Zhao (Aalborg University); Kai Zheng (University of Electronic Science and Technology of China)

CL4CTR: A Contrastive Learning Framework for CTR Prediction

Fangye Wang (Fudan University)*; Yingxu Wang (Fudan University); Dongsheng Li (Microsoft Research Asia); Hansu Gu (; Tun Lu (Fudan University); Peng Zhang (Fudan University); Ning Gu (Fudan University)

IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation

Jing Du (University of New South Wales)*; Zesheng Ye (University of New South Wales, Sydney); Lina Yao (University of New South Wales); bin guo (Northwestern Polytechnical University); zhiwen yu (Northwestern Polytechnical University)

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation

Jiarui Qin ( Shanghai Jiao Tong University)*; jiachen J zhu (Shanghai Jiaotong University); yankai liu (China Mobile); Junchao Gao (China Mobile); Jianjie Ying (China Mobile); Chaoxiong Liu (Digital Brain Lab); Ding Wang (China Mobile); Junlan Feng (China Mobile Research); Chao Deng (China Mobile Research Institute); Xiaozheng Wang (China Mobile); Jian Jiang (China Mobile); Cong Liu (China Mobile); Yong Yu (Shanghai Jiao Tong University); Haitao Zeng (China Mobile Research Institute); Weinan Zhang (Shanghai Jiao Tong University)

Beyond Digital “Echo Chambers”: The Role of Viewpoint Diversity in Political Discussion

Rishav Hada (Maastricht Univeristy)*; Amir Ebrahimi Fard (Maastricht University); Sarah Shugars (New York University); Federico Bianchi (Stanford University); Patricia Rossini (University of Glasgow); Dirk Hovy (); Rebekah Tromble (George Washington University); Nava Tintarev (Maastricht University)

Global Counterfactual Explainer for Graph Neural Networks

Mert Kosan (UCSB)*; Zexi Huang (University of California, Santa Barbara); Sourav Medya (UIC); Sayan Ranu (Indian Institute of Technology (IIT), Delhi); Ambuj K Singh (UCSB)

Alleviating Structural Distribution Shift in Graph Anomaly Detection

Yuan Gao (University of Science and Technology of China)*; Xiang Wang (National University of Singapore); Xiangnan He (University of Science and Technology of China); Zhenguang Liu (Zhejiang University); Huamin Feng (Beijing Electronic Science And Technology Institute); Yongdong Zhang (University of Science and Technology of China)

Cooperative Explanations of Graph Neural Networks

Junfeng Fang (University of Science and Technology of China)*; Xiang Wang (National University of Singapore); An Zhang (National University of Singapore); Zemin Liu (National University of Singapore); Xiangnan He (University of Science and Technology of China); Tat-Seng Chua (National university of Singapore)

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation

Chenglin Li (University of Alberta)*; Yuanzhen Xie (Tencent); Chenyun YU (SUN YAT-SEN University); Bo Hu (tencent); Zang Li (Tencent); Guoqiang Shu (Tencent); Xiaohu Qie (Tencent); Di Niu (University of Alberta)

Slate-Aware Ranking for Recommendation

Yi Ren (Tencent)*; Han Xiao (Tencent); Xu Zhao (Tencent); shenzheng zhang (tencent); Yan Zhang (Tencent)

Boosting Advertising Space: On Designing Ad Auctions for Augment Advertising

Yangsu Liu (Shanghai Jiao Tong University)*; Dagui Chen (Alibaba Group); Zhenzhe Zheng (Shanghai Jiao Tong University); Zhilin Zhang (Alibaba Group); Chuan Yu (Alibaba Group); Fan Wu (Shanghai Jiao Tong University); Guihai Chen (Shanghai Jiao Tong University)

Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting

Xiaosu Wang (Fudan University)*; Yun Xiong (Fudan University); Beichen Kang ( Fudan University); Yao Zhang (Fudan Univeristy); Philip S Yu (UIC); Yangyong Zhu (Fudan University)

Revisiting Code Search in a Two-Stage Paradigm

Fan Hu (Renmin University of China)*; Yanlin Wang (Sun Yat-sen University); Lun Du (Microsoft Research); Xirong Li (Renmin University of China); Hongyu Zhang (University of Newcastle); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation

Zhen Tian (Renmin University of China)*; Ting Bai (Beijing University of Posts and Telecommunications); Zhang Zibin (Tencent); xu zhiyuan (tencent); Kangyi Lin (Tencent); Ji-Rong Wen (Renmin University of China); Wayne Xin Zhao (Renmin University of China)

CLNode: Curriculum Learning for Node Classification

Xiaowen Wei (Wuhan University)*; Wenbin Hu (Wuhan University); Xiuwen Gong (The University of Sydney); Yibing Zhan (JD Explore Academy); Du Bo (Wuhan University); Yong Luo (Wuhan University)

Knowledge Enhancement for Contrastive Multi-Behavior Recommendation

HongRui Xuan (Nanjing University of Aeronautics and Astronautics); Yi Liu (Nanjing University of Aeronautics and Astronautics); Bohan Li (Nanjing University of Aeronautics and Astronautics)*; Hongzhi Yin (The University of Queensland)

Ask “Who”, Not “What”: Bitcoin Volatility Forecasting with Twitter Data

Mert Erkul (ETH Zurich)*; M. Eren Akbiyik (ETH Zurich); Killian Kaempf (ETH Zurich); Vaiva Vasiliauskaite (ETH Zurich); Nino Antulov-Fantulin (ETH Zurich)

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference

Yiwei WANG (National University of Singapore)*; Bryan Hooi (National University of Singapore); Yozen Liu (Snap Inc); Neil Shah (Snap Inc.)

Disentangled Representation for Diversified Recommendations

Xiaoying Zhang (ByteDance Inc.)*; Hongning Wang (University of Virginia); Hang Li (Toutiao Inc)

Heterogeneous Graph-based Context-aware Document Ranking

Shuting Wang (Renmin University of China)*; Zhicheng Dou (Renmin University of China); Yutao Zhu (University of Montreal)

Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation

Qingyu Bing (Renmin University of China); Qiannan Zhu (Gaoling School of Artificial Intelligence, Renmin University of China)*; Zhicheng Dou (Renmin University of China)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification

Kunal Dahiya (IIT Delhi)*; Nilesh Gupta (University of Texas at Austin); Deepak Saini (Microsoft Research India); Akshay Soni (Microsoft); Yajun Wang (Microsoft); Kushal Dave (Microsoft); Jian Jiao (Microsoft); Gururaj K (Microsoft); Prasenjit Dey (Microsoft India); Amit Singh (Microsoft); Deepesh Hada (Microsoft); Vidit Jain (Microsoft Research, India); Bhawna Paliwal (Microsoft); Anshul Mittal (IIT Delhi); Sonu Mehta (Microsoft Research India); Ramachandran Ramjee (Microsoft Research); Sumeet Agarwal (Department of Electrical Engineering, IIT Delhi); Purushottam Kar (IIT Kanpur); Manik Varma (Microsoft Research)

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking

Haiyuan Zhao (Renmin University of China); Jun Xu (Renmin University of China)*; Xiao Zhang (Renmin University of China ); Guohao Cai (Huawei Noah's Ark Lab); Zhenhua Dong (Huawei Noah's Ark Lab); Ji-Rong Wen (Renmin University of China)

Weakly Supervised Entity Alignment with Positional Inspiration

Wei Tang (Beijing University of Posts and Telecommunications)*; Fenglong Su (NUDT); Haifeng Sun (Beijing university of posts and telecommunications); Qi Qi (Beijing University of Posts and Telecommunications); Jingyu Wang (Beijing University of Posts and Telecommunications); Shimin Tao (Huawei); Hao Yang (Huawei)

Model-based Unbiased Learning to Rank

Dan Luo (Lehigh University)*; Lixin Zou (Baidu Inc.); Qingyao Ai (Tsinghua University); Zhiyu Chen (Lehigh University); Dawei Yin (Baidu); Brian Davison (Lehigh University)

A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework

Xu Wang (University of Science and Technology of China); Lianliang Chen (University of Science and Technology of China); Hongbo Zhang (University of Science and Technology of China); Pengkun Wang (University of Science and Technology of China); Zhengyang Zhou (University of Science and Technology of China); Yang Wang (University of Science and Technology of China)*

FineSum: Target-Oriented, Fine-Grained Opinion Summarization

Suyu Ge (UIUC)*; Jiaxin Huang (University of Illinois Urbana-Champaign); Yu Meng (University of Illinois Urbana-Champaign); Jiawei Han (UIUC)

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Ziyun Xu (Carnegie Mellon University); Chengyu Wang (Alibaba)*; Minghui Qiu (Alibaba); Fuli Luo (Alibaba Group); Runxin Xu (Peking University); Songfang Huang (Alibaba Group); Jun Huang (Alibaba Group)

A Bird’s-eye View of Reranking: from List Level to Page Level

Yunjia Xi (Shanghai Jiao Tong University); Jianghao Lin (Shanghai Jiao Tong University)*; Weiwen Liu (Huawei Noah's Ark Lab); Xinyi Dai (Shanghai Jiao Tong University); Weinan Zhang (Shanghai Jiao Tong University); Rui Zhang (; Ruiming Tang (Huawei Noah's Ark Lab); Yong Yu (Shanghai Jiao Tong University)

Self-Supervised Group Graph Collaborative Filtering for Group Recommendation

Kang Li (Sun Yat-sen University); Chang-Dong Wang (Sun Yat-sen University)*; Jian-Huang Lai (Sun Yat-sen University); Huaqiang Yuan (Dongguan University of Technology)

Learning Topical Stance Embeddings from Signed Social Graphs

John Pougué-Biyong (University of Oxford)*; Akshay Gupta (Facebook); Ahmed El-Kishky (Twitter); Aria Haghighi (Twitter)

Calibrated Recommendations as a Maximum Flow Problem

Himan Abdollahpouri (Spotify)*; Zahra Nazari (Spotify); Alex Gain (Spotify); Clay Gibson (Spotify); Maria Dimakopoulou (Spotify); Jesse Anderton (Spotify); Benjamin Carterette (Spotify); Mounia Lalmas (Spotify); Tony Jebara (Spotify)

Search Behavior Prediction: A Hypergraph Perspective

Yan Han (UT Austin)*; Edward W Huang (Amazon); Wenqing Zheng (University of Texas at Austin); Nikhil Rao (Amazon); Zhangyang Wang (University of Texas at Austin); Karthik Subbian (Amazon)

S2GAE: Self-Supervised Graph Autoencoders Are Generalizable Learners with Graph Masking

Qiaoyu Tan (Texas A&M University)*; Ninghao Liu (University of Georgia); Xiao Huang (The Hong Kong Polytechnic University); Soo-Hyun Choi (Samsung Electronics); Li Li (Samsung Research America); Rui Chen (Samsung Research America); Xia Hu (Rice University)

Multi-queue Momentum Contrast for Microvideo-Product Retrieval

Yali Du (Nanjing University)*; Yinwei Wei (National University of Singapore); Wei Ji (National University of Singapore); Fan Liu (National University of Singapore); Xin Luo (Shandong University); Liqiang Nie (Harbin Institute of Technology (Shenzhen))

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph

Mingdai Yang (University of Illinios at Chicago)*; Zhiwei Liu (Salesforce); Liangwei Yang (University of Illinois at Chicago); Xiaolong Liu (University of Illinois at Chicago); Chen Wang (University of Illinois at Chicago); Hao Peng (Beihang University); Philip S Yu (UIC)

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection

Qiaoyu Tan (Texas A&M University)*; Xin Zhang (The Hong Kong Polytechnic University); Ninghao Liu (University of Georgia); Daochen Zha (Rice University); Li Li (Samsung Research America); Rui Chen (Samsung Research America); Soo-Hyun Choi (Samsung Electronics); Xia Hu (Rice University)

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation

Yifang Qin (Peking University)*; Yifan Wang (Peking University); Fang Sun (School of EECS, Peking University); Wei Ju (Peking University); xuyang hou (meituan); zhe wang (sankuai); JIA CHENG (MEITUAN); Jun Lei (Meituan); Ming Zhang (Peking University)

Inductive Graph Transformer for Delivery Time Estimation

Xin Zhou (Nanyang Technological University)*; jinglong wang (Alibaba Group); Yong Liu (Nanyang Technological University); xingyu wu (Alibaba Group); Zhiqi Shen (NTU); Cyril Leung (NTU)

S^2TUL: A Semi-Supervised Framework for Trajectory-User Linking

Liwei Deng (University of Electronic Science and Technology of China); Hao Sun (Peking University); Yan Zhao (Aalborg University); Shuncheng Liu (University of Electronic Science and Technology of China); Kai Zheng (University of Electronic Science and Technology of China)*

Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation

Xuewei Li (Tianjin University); Aitong Sun ( Tianjin University); Mankun Zhao (Tianjin University); Jian Yu (Tianjin University); Kun Zhu (Tianjin University); Di Jin (Tianjin University); Mei Yu (Tianjin University)*; Ruiguo Yu (Tianjin University)

Generative Slate Recommendation with Reinforcement Learning

Romain Deffayet (Naver Labs Europe)*; Thibaut Thonet (Naver Labs Europe); Jean-Michel Renders (NAVER LABS Europe); Maarten de Rijke (University of Amsterdam)

Zero to Hero: Exploiting null effects to achieve variance reduction in experiments with one-sided triggering

Alex Deng (Airbnb)*; Lo-Hua Yuan (Airbnb); Naoya Kanai (Airbnb); Alexandre Salama-Manteau (Airbnb)

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation

Senrong Xu (Nanjing University)*; Liangyue Li (Alibaba Group); Yuan Yao (Nanjing University); Zulong Chen (Alibaba); Han Wu (alibaba Group); Quan Lu (Alibaba Group); Hanghang Tong (University of Illinois at Urbana-Champaign)

Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval

Taiqiang Wu (Tsinghua University)*; Xingyu Bai (Tsinghua University); weigang guo (Tencent); Weijie Liu (Tencent Inc.); Siheng Li (Tsinghua University); Yujiu Yang (Tsinghua University)

Scalable Adversarial Attack Algorithms on Influence Maximization

Lichao Sun (Lehigh University); Xiaobin Rui (China University of Mining and Technology)*; Wei Chen (Microsoft)

A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping

Mozhdeh Ariannezhad (University of Amsterdam)*; Ming Li (University of Amsterdam); Sebastian Schelter (University of Amsterdam); Maarten de Rijke (University of Amsterdam)

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark

Zhenran Xu (Harbin Institute of Technology, Shenzhen); Zifei Shan (Tencent); Yuxin Li (Tencent); Baotian Hu (Harbin Institute of Technology, Shenzhen)*; Bing Qin (Harbin Institute of Technology)

Disentangled Negative Sampling for Collaborative Filtering

Riwei Lai (Harbin Engineering University); CHEN Li (Hong Kong Baptist University, Hong Kong); Yuhan Zhao (Harbin Engineering University); Rui Chen (Harbin Engineering University)*; Qilong Han (Harbin Engineering University)

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms

Feifan Li (LinkedIn Corporation)*; Lun Du (Microsoft Research); Qiang Fu (Microsoft Research); Shi Han (Microsoft Research); Yushu Du (LinkedIn Corporation); Guangming Lu (LinkedIn Corporation ); Zi Li (LinkedIn Corp)

Towards Faithful and Consistent Explanations for Graph Neural Networks

Tianxiang Zhao (Penn State University)*; Dongsheng Luo ( The Pennsylvania State University); Xiang Zhang (The Pennsylvania State University); Suhang Wang (Pennsylvania State University)

SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation

Boyu Li (University of Technology Sydney)*; Ting Guo (University of Technology, Sydney); Xingquan Zhu (Florida Atlantic University); Qian Li (Curtin University); Yang Wang (UTS); Fang Chen (UTS)

Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce

Shilei Liu (Alibaba Group)*; Lin Li (Alibaba Group); Jun Song (Alibaba Group); Yonghua Yang (Alibaba Group); Xiaoyi Zeng (Alibaba Group)

Relation Preference oriented High-order Sampling for Recommendation

Mukun Chen (Wuhan University)*; Xiuwen Gong (The University of Sydney); YH Jin (Center for Evidence-Based and Translational Medicine, Wuhan University); Wenbin Hu (Wuhan University)

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections

Nihal Jain (Carnegie Mellon University); Praneetha Vaddamanu (Adobe Research)*; Paridhi Maheshwari (Stanford University); Vishwa Vinay (Adobe Research); Kuldeep Kulkarni (Adobe Research)

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

Xiaoyu Zhang (Shandong University)*; Xin Xin (Shandong University); Dongdong Li (Shandong University); Wenxuan Liu (Shandong University); Pengjie Ren (Shandong University); Zhumin Chen (Shandong University); Jun Ma (Shandong University); Zhaochun Ren (Shandong University)

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Huynh T Trung (Griffith University); Minh Hieu Nguyen (Hanoi University of Science and Technology); Thanh Tam Nguyen (Griffith University); Phi Le Nguyen (Hanoi University of Science and Technology); Matthias Weidlich (Humboldt-Universität zu Berlin); Quoc Viet Hung Nguyen (Griffith University)*; Karl Aberer (EPFL)

Visual Matching Is Enough for Scene Text Retrieval

Lilong Wen (zhejiang university)*; Yingrong Wang (Zhejiang University); Dongxiang Zhang (Zhejiang University); Gang Chen (Zhejiang University)

Position-Aware Subgraph Neural Networks with Data-Efficient Learning

Chang Liu (Shanghai Jiao Tong University); Yuwen Yang (Shanghai Jiao Tong University); Zhe Xie (Shanghai Jiao Tong University); Hongtao Lu (Shanghai Jiao Tong University); Yue Ding (Shanghai Jiao Tong University)*

BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs

Srinivas Virinchi (Amazon )*; Anoop Saladi (amazon)

Can Pre-trained Language Models Understand Chinese Humor?

Yuyan Chen (Fudan University)*; Zhixu Li (Fudan University); Jiaqing Liang (Fudan University); Yanghua Xiao (Fudan University); Bang Liu (University of Montreal); Yunwen Chen (DataGrand Inc.)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation

Zihao Li (University of Technology Sydney)*; Xianzhi Wang (University of Technology Sydney); Chao Yang (University of Technology, Sydney); Lina Yao (University of New South Wales); Julian McAuley (UCSD); Guandong Xu (University of Technology Sydney, Australia)

Learning and Maximizing Influence in Social Networks Under Capacity Constraints

Pritish Chakraborty (Indian Institute of Technology, Bombay)*; Sayan Ranu (Indian Institute of Technology (IIT), Delhi); Krishna Sri Ipsit Mantri (Indian Institute of Technology Bombay); Abir De (IIT Bombay)

Range Restricted Route Recommendation Based on Spatial Keyword

Hongwei Tang (Soochow University); Detian Zhang (Soochow University)*

Few-shot Node Classification with Extremely Weak Supervision

Song Wang (University of Virginia)*; Yushun Dong (University of Virginia); Kaize Ding (Arizona State University); Chen Chen (University of Virginia); Jundong Li (University of Virginia)

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution

Shenggui Sheng Tang (Shanxi University); Kaixuan Yao (Shanxi University)*; Jianqing Liang (Shanxi University); Zhiqiang Wang (Shanxi University); Jiye Liang (Shanxi University)

Concept-Oriented Transformers for Visual Sentiment Analysis

Quoc-Tuan Truong (Singapore Management University)*; Hady Lauw (Singapore Management University)

DeMEtRIS: Counting (near)-Cliques by Crawling

Suman K Bera (Katana Graph); Jayesh Choudhari (Cube Global Ltd.); Shahrzad Haddadan (Brown university )*; Sara Ahmadian (Google)

Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild

Donghyun Son (Hyperconnect); Byounggyu Lew (Hyperconnect); Kwanghee Choi (Sogang University); Yongsu Baek (Hyperconnect); Seungwoo Choi (Hyperconnect); Beomjun Shin (Match Group); Sungjoo Ha (Hyperconnect); Buru Chang (Hyperconnect)*

Telecommunication Traffic Forecasting via Multi-task Learning

Xiaochuan Gou (King Abdullah University of Science and Technology); Xiangliang Zhang (University of Notre Dame)*

Graph Summarization via Node Grouping: A Spectral Algorithm

Arpit Merchant (University of Helsinki)*; Michael Mathioudakis (University of Helsinki); Yanhao Wang (East China Normal University)

Local Edge Dynamics and Opinion Polarization

Nikita Bhalla (University of Massachusetts Amherst); Adam Lechowicz (University of Massachusetts Amherst)*; Cameron Musco (University of Massachusetts Amherst)

Meta Policy Learning for Cold-Start Conversational Recommendation

Zhendong Chu (University of Virginia)*; Hongning Wang (University of Virginia); Xiao Yun (; Bo Long (; Lingfei Wu (JD.COM Silicon Valley Research Center)

Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks

Yasushi Kawase (University of Tokyo ); Atsushi Miyauchi (University of Tokyo)*; Hanna Sumita (Tokyo Institute of Technology)

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Peiyan Zhang (Hong Kong University of Science and Technology)*; Jiayan Guo (Peking University); Chaozhuo Li (Microsoft Research Asia); Yueqi Xie (The Hong Kong University of Science and Technology); Jae Boum KIM (Hong Kong University of Science and Technology); Yan Zhang (Peking University); Xing Xie (Microsoft Research Asia); Haohan Wang (University of Illinois Urbana-Champaign); Sunghun Kim (Hong Kong University of Science and Technology)

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

Yixin Liu (Monash University)*; Kaize Ding (Arizona State University); Huan Liu (Arizona State University); Shirui Pan (Griffith University)

Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling

Jingkun Wang (Peking University)*; Yongtao Jiang (Peking University); Haochen Li (Peking University); Wen Zhao (Peking University)

Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups

Gongzhu Yin (Harbin Institute of Technology)*; Xing Wang ( Harbin Institute of Technology); Hongli Zhang (Harbin Institute of Technology); Chao Meng (Harbin Institute of Technology); Yuchen Yang (Harbin Institute of Technology); Kun Lu (Harbin Institute of Technology); Yi Luo (Harbin Institute of Technology)

Effective Graph Kernels for Evolving Functional Brain Networks

Xinlei Wang (Northeastern University); Jinyi Chen (Northeastern University); Bing Tian Dai (Singapore Management University); Junchang Xin ( Northeastern University)*; Yu Gu (Northeastern University); Ge Yu (Northeast University)

A multimodal framework for the identification of vaccine critical memes on Twitter

Usman Naseem (University of Sydney)*; Jinman Kim (University of Sydney); Matloob Khushi (The University of Sydney); Adam G. Dunn (The University of Sydney)

Simplifying Graph-based Collaborative Filtering for Recommendation

Li HE (University of Technology Sydney)*; Xianzhi Wang (University of Technology Sydney); Dingxian Wang (Ebay); zou haoyuan (Meta); Hongzhi Yin (The University of Queensland); Guandong Xu (University of Technology Sydney, Australia)

Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits

Aaron Tucker (Cornell)*; Thorsten Joachims (Cornell)

Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs

Qiang Yang (King Abdullah University of Science and Technology)*; Changsheng Ma (King Abdullah University of Science and Technology ); Qiannan Zhang (King Abdullah University of Science and Technology); Xin Gao (Kaust); Chuxu Zhang (Brandeis University); Xiangliang Zhang (University of Notre Dame)

Beyond Hard Negatives in Product Search: Semantic Matching using One-Class Classification (SMOCC)

Arindam Bhattacharya (Amazon)*; Ankit Gandhi (Amazon); Vijay Huddar (Amazon); Ankith M S (Amazon); Aayush Moroney (Amazon); Atul Saroop (Amazon); Rahul Bhagat ()

Self-Supervised Graph Structure Refinement for Graph Neural Networks

Jianan Zhao (University of Notre Dame); Qianlong Wen (University of Notre Dame); Mingxuan Ju (University of Notre Dame); Yanfang Ye (University of Notre Dame); Chuxu Zhang (Brandeis University)*

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

Chenxu Zhu (Shanghai Jiao Tong University)*; Bo Chen (Huawei Noah’s Ark Lab); Huifeng Guo (Huawei Noah's Ark Lab); Hang Xu (Huawei Noah's Ark Lab); Xiangyang Li (Peking University); Xiangyu Zhao (City University of Hong Kong); Weinan Zhang (Shanghai Jiao Tong University); Yong Yu (Shanghai Jiao Tong University); Ruiming Tang (Huawei Noah's Ark Lab)

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution

Wendong Bi (Institute of Computing Technology, University of Chinese Academy of Sciences); Lun Du (Microsoft Research)*; Qiang Fu (Microsoft); Yanlin Wang (Microsoft Research Asia); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning

Cheng Ji (Beihang University)*; Jianxin Li (Beihang University); Hao Peng (Beihang University); Jia Wu (Macquarie University); Xingcheng Fu (Beihang University); Qingyun Sun (Beihang University); Philip S Yu (UIC)

Pairwise Fairness in Ranking as a Dissatisfaction Measure

Alessandro Fabris (University of Padua)*; Gianmaria Silvello (University of Padova); Gian Susto (University of Padova); Asia J. Biega (Max Planck Institute for Security and Privacy)

Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising

Xuejiao Yang (Tencent)*; binfeng jia (Tencent); SHUANGYANG WANG (Tencent); shijie zhang (Tencent)

A Causal View for Item-level Effect of Recommendation on User Preference

Wei Cai (Zhejiang University (ZJU))*; Fuli Feng (University of Science and Technology of China); Qifan Wang (Meta AI); Tian Yang (Chinese University of Hong Kong); Zhenguang Liu (Zhejiang University); Congfu Xu (Zhejiang University)

Combining vs Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings

Yaguang Liu (Georgetown University)*; Lisa Singh (Georgetown University)

Federated Unlearning for On-Device Recommendation

Wei Yuan (The University of Queensland)*; Hongzhi Yin (The University of Queensland); Fangzhao Wu (MSRA); shijie zhang (Tencent); Tieke He (State Key Laboratory for Novel Software Technology, Nanjing University); Hao Wang (Alibaba Cloud, Alibaba Group)

Explicit Counterfactual Data Augmentation for Recommendation

Jianchao Ji (Rutgers University)*; Zelong Li (Rutgers University); Shuyuan Xu (Rutgers University); Max Xiong (Rutgers Preparatory School); Juntao Tan (Rutgers University); Yingqiang Ge (Rutgers University); Hao Wang (Rutgers University); Yongfeng Zhang (Rutgers University)

Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs

Linhao Luo (Monash University)*; Reza Haffari (Monash University, Australia); Shirui Pan (Griffith University)

Self-supervised Graph Representation Learning for Black Market Account Detection

Zequan Xu (Xiamen University); Lianyun Li (Xiamen University); Hui Li (Xiamen University)*; Qihang Sun (Tencent Inc.); Shaofeng Hu (Tencent Inc.); Rongrong Ji (Xiamen University)

Minimum Entropy Principle Guided Graph Neural Networks

Zhenyu Yang (Macquarie University)*; Ge Zhang (Macquarie University); Jia Wu (Macquarie University); Hao Peng (Beihang University); Shan Xue (University of Wollongong); Jian Yang (Macquarie University); Angsheng Li (Beihang University); Jianlin Su (Shenzhen Zhuiyi Technology Co., Ltd.); Quan Z. Sheng (Macquarie University)

Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation

Zhiqi Huang (University of Massachusetts Amherst)*; Puxuan Yu (University of Massachusetts Amherst); James Allan (University of Massachusetts Amherst)

Uncertainty Quantification for Fairness in Two-Stage Recommender Systems

Lequn Wang (Cornell)*; Thorsten Joachims (Cornell)

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization

Canzhe Zhao (Shanghai Jiao Tong University); Yanjie Ze (Shanghai Jiao Tong University); Jing Dong (The Chinese University of Hong Kong, Shenzhen); Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen); Shuai Li (Shanghai Jiao Tong University)*

Generating Explainable Product Comparisons for Online Shopping

Nikhita Vedula (Amazon)*; Marcus Collins (); Eugene Agichtein (Emory University and Amazon); Oleg Rokhlenko (Amazon)

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation

Liangwei Yang (University of Illinois at Chicago)*; Shengjie Wang (University of Washington); Yunzhe Tao (ByteDance Inc.); Jiankai Sun (ByteDance Inc.); Xiaolong Liu (University of Illinois at Chicago); Philip S Yu (UIC); Taiqing Wang (ByteDance Ltd)

Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution

SunYoung Park (Sungkyunkwan University); Choi Kyuri (SungKyunKwan University); Haeun Yu (Sungkyunkwan University); Youngjoong Ko (Sungkyunkwan University)*

Marginal-Certainty-aware Fair Ranking Algorithm

Tao Yang (University of Utah)*; Zhichao Xu (University of Utah); Zhenduo Wang (University of Utah); Anh Tran (University of Utah); Qingyao Ai (University of Utah)

Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts

Yu Zhang (University of Illinois at Urbana-Champaign)*; Yunyi Zhang (University of Illinois at Urbana-Champaign); Martin Michalski (University of Illinois at Urbana-Champaign); Yucheng Jiang (University of Illinois Urbana Champaign); Yu Meng (University of Illinois Urbana-Champaign); Jiawei Han (UIUC)

EZInterviewer: to Improve Job Interview Performance with Mock Interview Generator

Mingzhe Li (Peking University)*; Xiuying Chen (Peking University); Weiheng Liao (Made by Data); Yang Song (BOSS Zhipin NLP Center); Tao Zhang (BOSS ZHIPIN); Dongyan Zhao (Peking University); Rui Yan (Peking University)

Unbiased Knowledge Distillation for Recommendation

Gang Chen (University Of Science And Technology Of China)*; Jiawei Chen (Zhejiang University); Fuli Feng (University of Science and Technology of China); Sheng Zhou (Zhejiang University); Xiangnan He (University of Science and Technology of China)

Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks

Xing Su (Macquarie University)*; Jian Yang (Macquarie University); Jia Wu (Macquarie University); Yuchen Zhang (Macquarie University)

Long-Document Cross-Lingual Summarization

Shaohui Zheng (Soochow University)*; Zhixu Li (Fudan University); Jiaan Wang (Soochow University); JIanfeng Qu (Soochow University); An Liu (Soochow University); Lei Zhao (Soochow University); Zhigang Chen (iFLYTEK CO., LTD)

Learning to Distill Graph Neural Networks

Cheng Yang (School of Computer Science, Beijing University of Posts and Telecommunications); Yuxin Guo (Beijing University of Posts and Telecommunications)*; Chuan Shi (Beijing University of Posts and Telecommunications); Jiawei Liu (Beijing University of Posts and Telecommunications); Chunchen Wang (Beijing University of Posts and Telecommunications); Yao Xu (Alibaba group); Xin Li (Alibaba Group); Ning Guo (Alibaba Group); Hongzhi Yin (The University of Queensland)

AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models

Xiaodan Wang (Fudan University)*; Lei Li (East China Normal University); Zhixu Li (Fudan University); Xuwu Wang (Fudan University); Xiangru Zhu (Fudan University); Chengyu Wang (Alibaba); Jun Huang (Alibaba Group); Yanghua Xiao (Fudan University)

VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation

Lingyun Lu (Huazhong University of Science and Technology)*; Bang Wang (Huazhong University of Science and Technology (HUST)); Zizhuo Zhang (Huazhong University of Science and Technology (HUST)); Shenghao Liu (Huazhong University of Science and Technology); Han Xu (Huazhong University of Science and Technology)

Knowledge-Adaptive Contrastive Learning for Recommendation

Hao Wang (Alibaba group, Beijing University of Posts and Telecommunications)*; Yao Xu (Alibaba group); Cheng Yang (School of Computer Science, Beijing University of Posts and Telecommunications); Xin Li (Alibaba Group); Chuan Shi (Beijing University of Posts and Telecommunications); Ning Guo (Alibaba Group); Zhiyuan Liu (Tsinghua University)

Heterogeneous Graph Contrastive Learning for Recommendation

Mengru Chen (South China University of Technology)*; Chao Huang (University of Hong Kong); Lianghao Xia (University of Hong Kong); Yong Xu (South China University of Technology); RongHua Luo (South China University of Technology); Wei Wei (University of Hong Kong)

Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition

Xin Zhang (Wuhan University of Technology); Jingling Yuan (Wuhan University of Technology)*; Lin Li (Wuhan University of Technology); Jianquan Liu (NEC Corporation)

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning

Tianchi Cai (Ant Group)*; Wenpeng Zhang (Ant Group); Shiji Zhou (Tsinghua University); Jiyan Jiang (Tsinghua University); Xierui SONG (Ant Group); Li Yu (Ant Financial Services Group); Lihong Gu (Ant Group); Xiaodong Zeng (Ant Services Group ); Jinjie Gu (Ant Group); Guannan Zhang (Ant Group)