Review-Based Hyperbolic Cross-Domain Recommendation Yoonhyuk Choi (Seoul National University)*; Jiho Choi (KAIST); Taewook Ko (Seoul National University); Chong-kwon Kim (Korea Institute of Energy Technology)
Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation Yoonhyuk Choi (Seoul National University)*; Jiho Choi (KAIST); Taewook Ko (Seoul National University); Chong-kwon Kim (Korea Institute of Energy Technology)
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao (Institute of Computing Technology, CAS)*; Xiang Ao (Institute of Computing Technology, CAS ); Yang Liu (Institute of Computing Technology, Chinese Academy of Sciences); Jiarong Xu (Fudan University); Xiaoqian Sun (Institute of Computing Technology,Chinese Academy of Sciences); Qing He (Institute of Computing Technology, Chinese Academy of Sciences)
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding Zhe Wang (Zhejiang University)*; Sheng Zhou (Zhejiang University); Jiawei Chen (Zhejiang University); Zhen Zhang (National University of Singapore); Binbin Hu (Ant Group); Yan Feng (Zhejiang University); Chun Chen (Zhejiang University); Can Wang (Zhejiang University)
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Rui Xia (Nanjing University of Aeronautics and Astronautics)*; Yanhua Cheng (Kuaishou); Yongxiang Tang (Kuaishou); Liu Xiaocheng (Kuaishou); Xialong Liu (kuaishou); lisong wang (Nanjing university of aeronautics and astronautics); Peng Jiang (Kuaishou Technology)
Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery Andrea Clementi (Università di Roma “Tor Vergata”); Luciano Gualà (University of Rome Tor Vergata); Luca Pepè Sciarria (University of Rome “Tor Vergata”); Alessandro Straziota (University of Rome “Tor Vergata”)*
Hyperdimensional Representation Learning for Node Classification and Link Prediction Abhishek Dalvi (The Pennsylvania State University)*; Vasant G Honavar (Pennsylvania State University)
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning Pengyang Zhou (Zhejiang University)*; Chaochao Chen (Zhejiang University); Weiming Liu (Zhejiang university); Xinting Liao (Zhejiang University); Fengyuan Yu (Zhejiang University); Zhihui Fu (OPPO Research Institute); Xingyu Lou (OPPO); Jun Wang (OPPO Research Institute); Wu Wen (Zhejiang University); Xiaolin Zheng (Zhejiang University)
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection Jiazhen Chen (University of Waterloo)*; Mingbin Feng (University of Waterloo); Tony S. Wirjanto (University of Waterloo)
Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis Xiaocui Li (Hunan University of Business and Technology); Guoliang Li (Hunan University of Technology and Business); xinyu zhang (Hunan University of Business and Technology )*; Yangtao Wang (Guangzhou University); Qingyu Shi (Hunan University of Technology and Business); Wei Liang (Hunan University of Technology and Business)
Large Language Model driven Policy Exploration for Recommender Systems jie wang (university of glasgow)*; Alexandros Karatzoglou (Google Deepmind); Ioannis Arapakis (Telefonica Research); Joemon M Jose ( University of Glasgow)
The Initial Screening Order Problem Jose M Alvarez (Scuola Normale Superiore)*; Antonio Mastropietro (Università di Pisa); Salvatore Ruggieri (University of Pisa – IT)
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations Mingyue Cheng (University of Science and Technology of China)*; Xiaoyu Tao (University of Science and Technology of China); Qi Liu (” University of Science and Technology of China, China”); Hao Zhang (University of Science and Technology of China); Yiheng Chen (USTC); Defu Lian (University of Science and Technology of China)
Empowering Time Series Classification with Multimodal Language Modeling Mingyue Cheng (University of Science and Technology of China)*; Yiheng Chen (USTC); Qi Liu (” University of Science and Technology of China, China”); Zhiding Liu (University of Science and Technology of China); Yucong Luo (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China)
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts Soojin Yoon (Yonsei University)*; Sungho Ko (Yonsei University); TongYoung Kim (Yonsei University); SeongKu Kang (UIUC); Jinyoung Yeo (Yonsei University); Dongha Lee (Yonsei University)
MedTransTab: Advancing Medical Cross-Table Tabular Data Generation Yuyan Chen (Fudan University)*; Qingpei Guo (Ant Group); Shuangjie You (Georgia Institute of Technology); Zhixu Li (Fudan University)
Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information Tianyi Chen (Boston University); Atsushi Miyauchi (CENTAI Institute)*; Charalampos Tsourakakis (Boston University )
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning Shijie Zhu (Alibaba Group)*; Hui Zhao (alibaba group); Tianshu Wu (alibaba); Pengjie Wang (Alibaba Group); Hongbo Deng (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)
Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification Malik Khizar Hayat (Macquarie University)*; Shan Xue (Macquarie University); Jia Wu (Macquarie University); Bilal Khan (Macquarie University); Jian Yang (Macquarie University)
Combating Heterogeneous Model Biases in Recommendations via Boosting Jinhao Pan (George Mason University)*; James Caverlee (Texas A&M University); Ziwei Zhu (George Mason University)
Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation Xingyu Zeng (Beijing University of Posts and Telecommunications)*; Han Li (Chinaunicom); Qi Qi (Beijing University of Posts and Telecommunications); Jingyu Wang (Beijing University of Posts and Telecommunications); Haodong Deng (Beijing University of Posts and Telecommunications); Haifeng Sun (Beijing university of posts and telecommunications); Zirui Zhuang (Beijing University of Posts and Telecommunications); Jianxin Liao (beijing university of posts and telecommunications)
Teach Me How to Denoise: a Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Hongji Li (Westlake University)*; Hanwen Du (The Ohio State University); Youhua li (ShanghaiTech University); Junchen Fu (University of Glasgow); Chunxiao Li (University of Science and Technoloogy of China); Ziyi Zhuang (Shanghai Jiao Tong University); Jiakang Li (Rutgers University); Yongxin Ni (National University of Singapore)
Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions Zelin Li (Beijing Institute of Technology); Cheng Zhang (Tianjin University of Finance and Economics); Dawei Song (Beijing Institute of Technology)*
DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation Nijia Mo (Shanghai University of International Business and Economics ); Jianxiang Zang (Shanghai University of International Business and Economics); Zhan Wang (Shanghai University of International Business and Economics); Hui Liu (Shanghai University of International Business and Economics)*
Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study Mohammad Shirzadi (The Australian National university )*; Ahad N. Zehmakan (The Australian National University)
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning QIUYU ZHU (Nanyang Technological University)*; Liang Zhang (Nanyang Technological University); Qianxiong Xu (Nanyang Technological University); Kaijun Liu (Nanyang Technological University); Cheng Long (Nanyang Technological University); Xiaoyang Wang (University of New South Wales)
A Sublinear Algorithm for Approximate Shortest Paths in Large Networks Sabyasachi Basu (UC Santa Cruz)*; Nadia Koshima (MIT); Talya Eden (Bar Ilan university); Omri Ben-Eliezer (MIT); C. Seshadhri (UCSC)
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation Siqing Zhang (University of Science and Technology of China); Yuchen Ding (University of Science and Technology of China); Wei Tang (University of Science and Technology of China); Wei Sun (University of Science and Technology of China); Yong Liao (University of Sciences and Technology of China)*; Peng Yuan Zhou (Aarhus University )
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems Hongliu CAO (Amadeus)*
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park (sungkyunkwan university); Heesoo Jung (Sungkyunkwan University); Hogun Park (Sungkyunkwan University)*
RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan Ziming Li (Hunan University); Yuequn Dou (Hunan University); Youhuan Li (Hunan University)*; Xinhuan Chen (Tencent Inc.); Chuxu Zhang (University of Connecticut)
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling Ubaid Azam (University of Southampton)*; Imran Razzak (UNSW); Shelly Vishwakarma (University of Southampton ); Hakim Hacid (TII); Dell Zhang (Institute of Artificial Intelligence (TeleAI), China Telecom); Shoaib Jameel (University of Southampton)
Edge Classification on Graphs: New Directions in Topological Imbalance Xueqi Cheng (Vanderbilt university)*; Yu Wang (Vanderbilt university); Yunchao Liu (Vanderbilt University); Yuying Zhao (Vanderbilt university); Charu Aggarwal (IBM); Tyler Derr (Vanderbilt University)
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs YILONG WANG (Penn State University)*; Tianxiang Zhao (Penn State University); Zongyu Wu (The Pennsylvania State University); Suhang Wang (Pennsylvania State University)
Hawkes Point Process-Enhanced Dynamic Graph Neural Networks Zhiqiang Wang (Shanxi University); Baijing hu (ShanXi University); Kaixuan Yao (Shanxi University)*; Jiye Liang (Shanxi University)
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks Junliang Luo (McGill University)*; Xue Liu (McGill University)
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation Chaejeong Lee (Yonsei University); Jeongwhan Choi (Yonsei University); Hyowon Wi (KAIST); Sung-Bae Cho (Yonsei University); Noseong Park (KAIST)*
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation Yue Ding (Shanghai Jiao Tong University)*; Yanbiao Ji (Shanghai Jiao Tong University); Xun Cai (Shanghai Jiao Tong University); Xin Xin (Shandong University); Yuxiang Lu (Shanghai Jiao Tong University); Suizhi Huang (Shanghai Jiao Tong University); Chang Liu (Shanghai Jiao Tong University); Xiaofeng Gao (Shanghai Jiaotong University); Tsuyoshi Murata (Tokyo Institute of Technology); Hongtao Lu (Shanghai Jiao Tong University)
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness Junghoon Kim (KAIST)*; Junmo Lee (KAIST); Yeonjun In (KAIST); Kanghoon Yoon (KAIST); Chanyoung Park (KAIST)
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data Binbin Hu (Ant Group)*; Zhicheng An (Ant Group); Zhiqiang Zhang (Ant Group); Ziqi Liu (Ant Financial); Jun Zhou (Ant Financial); Jiawei Chen (Zhejiang University); Yufei Feng (Alibaba Group); Zhengwei Wu (Ant Financial); Ke Tu (Ant Group)
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning Zhongnian Li (China University of Mining and Technology); Meng Wei (China University of Mining and Technology); Peng Ying (China University of Mining and Technology); Xinzheng Xu (China University of Mining and Technology)*
Context Embeddings for Efficient Answer Generation in RAG David Rau (University of Amsterdam)*; Shuai Wang (The University of Queensland); Hervé DEJEAN (Naver Labs Europe); Stéphane Clinchant ( Naver Labs Europe); Jaap Kamps (University of Amsterdam)
An aspect performance-aware hypergraph neural network for review-based recommendation Junrui Liu (Beijing University of Technology); Tong Li (Beijing University of Technology)*; Wu Di (Beijing Police College); Zifang Tang (Beijing University of Technology); Yuan Fang (Singapore Management University); Zhen Yang (Beijing University of Technology)
Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions Hongtao Liu (Renmin University of China)*; Luxi Chen (Renmin University of China); Yiming Ding (Kuaishou); changcheng Li (Kuaishou Technology); Han Li (Kuaishou); Peng Jiang (Kuaishou Technology); Weiran Shen (Renmin University of China)
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong (Singapore Management University)*; Yuan Fang (Singapore Management University); Hady W. Lauw (Singapore Management University)
Sequential diversification with provable guarantees Honglian Wang (KTH Royal Institute of Technology); Sijing Tu (KTH Royal Institute of Technology); Aristides Gionis (KTH Royal Institute of Technology)*
DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation Shuai Zhang (Xidian University); Hua Chu (Xidian University); Jianan Li (Xidian University); Yangtao Zhou (Xidian University)*; Shirong Wang (Xidian University); Qiaofei Sun (Xidian University)
Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising Zheng Pan (OPPO)*; Xingyu Lou (OPPO); Xiao Jin (OPPO); Chiye Ou (OPPO); Feng Liu (OPPO Research Institute); Tieyong Zeng (The Chinese University of Hong Kong); Chengwei He (OPPO); Xiang Liu (OPPO); Lilong Wei (OPPO); Jun Wang (OPPO Research Institute)
Mining Topics towards ChatGPT using Disentangled Contextualized-neural Topic Model Rui Wang (Nanjing University of Post and Telecommunications)*; Xing Liu (Nangjing University of Posts and Telecommunications); Yanan Wang (Nanjing University of Posts and Telecommunications); Shuyu Chang (Nanjing University of Posts and Telecommunications); Yuanzhi Yao (Hefei University of Technology); Haiping Huang (Nanjing University of Posts and Telecommunications)
Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation Yidan Wang (Shandong University); Xuri Ge (Shandong University); Xin Chen (Tencent); Ruobing Xie (Tencent); yan su (tencent); Xu Zhang (WeChat Search Application Department, Tencent); Zhumin Chen (Shandong University); Jun Ma (Shandong University); Xin Xin (Shandong University)*
Simple Graph Neural Networks for Recommendation Guoxuan Chen (The University of Hong Kong)*; Lianghao Xia (University of Hong Kong); Chao Huang (University of Hong Kong)
Enhancing Code Search Intent with Programming Context Exploration Yanmin Dong (University of Science and Technology of China)*; Zhenya Huang (University of Science and Technology of China); zheng zhang (University of Science and Technology of China); GuanHao Zhao (University of Science & Technology of China); Likang Wu (Tianjin University); Hongke Zhao (Tianjin University); Binbin Jin (HUAWEI); Qi Liu (” University of Science and Technology of China, China”)
Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information Zihan Qiu (Inner Mongolia University); Xiaoling Zhou (Inner Mongolia University); Chunyan An (Inner Mongolia University)*; Qiang Yang (University of Florida); Zhixu Li (Fudan University)
AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions Fanqi Meng (Beijing Jiaotong University); Zhiyuan Zhang (Beijing Jiaotong University)*
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection Anran Zhang (Beijing Information Science and Technology University)*; Xingfen Wang (Beijing Information Science and Technology University); Yuhan Zhao (Hong Kong Baptist University)
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection Lingzhi Shen (University of Southampton); Yunfei Long (University of Essex); Xiaohao Cai (University of Southampton); Imran Razzak (UNSW); Guanming Chen (University of Southampton); Kang Liu (University of Southampton); Shoaib Jameel (University of Southampton)*
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation Jiafeng Xia (Fudan University)*; Dongsheng Li (Microsoft Research Asia); Hansu Gu (Amazon.com); Tun Lu (Fudan University); Peng Zhang (Fudan University); Li Shang (Fudan University); Ning Gu (Fudan University)
IMPO: Interpretable Memory-based Prototypical Pooling Alessio Ragno (Sapienza University of Rome)*; Roberto Capobianco (Sony AI)
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation SeongKu Kang (UIUC)*; Bowen Jin (University of Illinois at Urbana-Champaign); Wonbin Kweon (POSTECH); Yu Zhang (University of Illinois at Urbana-Champaign); Dongha Lee (Yonsei University); Jiawei Han (UIUC); Hwanjo Yu (POSTECH)
Personalised Outfit Recommendation via History-aware Transformers Myong Chol Jung (Amazon)*; Julien Monteil (Amazon); Philip Schulz (Amazon); Volodymyr Vaskovych (Amazon)
LLM Simulator for Online Billion-Scale Item Cold-Start Recommendation Feiran Huang (Jinan University); Yuanchen Bei (Zhejiang University); Zhenghang Yang (Jinan University); Junyi Jiang (Jinan University); Hao Chen (The Hong Kong Polytechnic University)*; Qijie Shen (Alibaba Group); Senzhang Wang (Central South University); Fakhri Karray (University of Waterloo); Philip S Yu (UIC)
DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting Chenchen Yang (Tsinghua University)*; Xi Xiao (Tsinghua University); guangwu hu (Shenzhen Institute of Information Technology); Zhen Ling (Southeast University); Lee Hao (china universicy of communication ); Bin Zhang (Pengcheng Laboratory)
Density-aware and Cluster-based Federated Anomaly Detection on Data Streams Bin Li (Intelligent Game and Decision Lab (IGDL), Beijing, China)*; Li Cheng (National University of Defense Technology); Zheng Qin (Defense Innovation Institute, Academy of Military Sciences); Yunlong Wu (Intelligent Game and Decision Lab (IGDL))
Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records Maryam Tabar (University of Texas at San Antonio)*; Anusha S Abdulla (University of Texas at San Antonio); John A Petersen (Penn State University); Dongwon Lee (Penn State University)
Training MLPs on Graphs without Supervision Zehong Wang (University of Notre Dame)*; Zheyuan Zhang (University of Notre Dame); Chuxu Zhang (University of Connecticut); Yanfang Ye (University of Notre Dame)
Explainable CTR prediction via LLM reasoning Xiaohan Yu (Huawei Inc.)*; Li . Zhang (University College London); Chong Chen (huawei)
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation Mingrui Liu (Nanyang Technological University)*; Sixiao Zhang (Nanyang Technological University); Cheng Long (Nanyang Technological University)
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning Yiyue Qian (University of Notre Dame)*; Tianyi Ma (University of Notre Dame); Chuxu Zhang (University of Connecticut); Yanfang Ye (University of Notre Dame)
Temporal Linear Item-Item Model for Sequential Recommendation Seongmin Park (Sungkyunkwan University)*; Mincheol Yoon (Sungkyunkwan University); Minjin Choi (Sungkyunkwan University); Jongwuk Lee (Sungkyunkwan University)
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models Wuchao Li (University of Science and Technology of China)*; Rui Huang (Kuaishou); Haijun Zhao (Sun Yat-Sen University); Chi Liu (kuaishou); Kai Zheng (Kuaishou); Qi Liu (University of Science and Technology of China); Na Mou (Kuaishou Technology); Guorui Zhou (Kuaishou); Defu Lian (University of Science and Technology of China); Yang Song (Kuaishou Technology); Wentian Bao (Kuaishou); enyun yu (kuaishou); wenwu ou (alibaba)
An Edge-Based Decomposition Framework for Temporal Networks Lutz Oettershagen (University of Liverpool)*; Athanasios Konstantinidis (Luiss University); Giuseppe F. Italiano (LUISS University)
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models Kexin Zhang (Northwestern University)*; Fuyuan Lyu (McGill University); Xing Tang (Tencent); Dugang Liu (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University); Chen Ma (City University of Hong Kong); Kaize Ding (Northwestern University); Xiuqiang He (Tencent); Xue Liu (McGill University)
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory Nhu-Thuat Tran (Singapore Management University)*; Hady W. Lauw (Singapore Management University)
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing Jiawen Qin (Beihang University)*; Pengfeng Huang (Beihang University); Qingyun Sun (Beihang University); Cheng Ji (Beihang University); Xingcheng Fu (Guangxi Normal University); Jianxin Li (Beihang University)
Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity Giulia Preti (CENTAI); Matteo Riondato (Amherst College); Aristides Gionis (KTH Royal Institute of Technology); Gianmarco De Francisci Morales (CENTAI)*
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multi-modal Recommendation Rongqing Kenneth Ong (Nanyang Technological University)*; Andy W H Khong (Nanyang Technological University)
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction Qinyuan Wu (MPI-SWS)*; Mohammad Aflah Khan (MPI-SWS); Soumi Das (MPI-SWS); Vedant Nanda (MPI-SWS); Bishwamittra Ghosh (MPI-SWS); Camila Kolling (MPI-SWS); Till Speicher (MPI-SWS); Laurent Bindschaedler (MPI-SWS); Krishna Gummadi (MPI-SWS); Evimaria Terzi (Boston University)
Improving FIM Code Completions via Context & Curriculum Based Learning Hitesh Sagtani (Sourcegraph)*; Rishabh Mehrotra (Sourcegraph); Beyang Liu (Sourcegraph)
Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users Jongjin Kim (Seoul National University)*; U Kang (Seoul National University)
Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources Chengqing Li (Xiangtan University)*; Lulu Wang (Xiangtan University)
Untapping the Power of Indirect Relationships in Entity Summarization Atefeh Moradan (Aarhus University)*; Mohammad Sorkhpar (Indiana State University); Atsushi Miyauchi (CENTAI Institute); Davide Mottin (Aarhus University); Ira Assent (Aarhus University)
Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences Xuanzhou Liu (Alibaba Group)*; Zhibo Xiao (Alibaba Group); Luwei Yang (Alibaba Group); Hansheng Xue (The Australian National University); Jianxing Ma (Alibaba Group); Yujiu Yang (Tsinghua University)
Heterophilic Graph Neural Networks Optimization with Causal Message-passing Botao Wang (Hong Kong University of Science and Technology); Jia Li (Hong Kong University of Science and Technology)*; Heng Chang (Tsinghua University); Keli Zhang (Huawei Noah’s Ark Lab ); Fugee Tsung (Hong Kong University of Science and Technology)
HaGAR: Hardness-aware Generative Adversarial Recommender Yuan-Heng Lee (National Yang Ming Chiao Tung University); Jia-Ching Ying (National Chung Hsing University); Vincent S. Tseng (National Yang Ming Chiao Tung University)*
UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction Xu Yang (Tencent)*; Guangyuan Yu (Tencent); Jun He (Tencent)
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models Hao Yan (Central south university); Chaozhuo Li (Beihang University); Jun Yin (Central South University); Weihao Han (Microsoft); Hao Sun (Microsoft); Senzhang Wang (Central South University)*; Jian Zhang (Central South University); Jianxin Wang (Central South University)
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems Jiaju Chen (University of Science and Technology of China)*; Chongming Gao (University of Science and Technology of China); Shuai Yuan (Hong Kong University of Science and Technology); Shuchang Liu (Kuaishou Technology); Qingpeng Cai (Kuashou Inc.); Peng Jiang (Kuaishou Technology)
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation Zhankui He (UC San Diego)*; Zhouhang Xie (University of California, San Diego); Harald Steck (Netflix); Dawen Liang (Netflix); Rahul Jha (Netflix); Nathan Kallus (Netflix); Julian McAuley (UCSD)
Adaptive Loss-based Curricula for Neural Team Recommendation Reza R.B Barzegar (University of windsor); Marco N Kurepa (University of British Columbia); Hossein Fani (University of Windsor)*
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms Yinhan He (UVA)*; Chen Chen (University of Virginia); Song Wang (University of Virginia); Guanghui Min (University of Virginia); Jundong Li (University of Virginia)
Does Memorization Affect LLMs’ Social Reasoning? An Evaluation on Seen and Unseen Queries Maryam Amirizaniani (University of Washington)*; Maryna Sivachenko (University of Washington Bothell); Adrian Lavergne (University of Washington); Chirag Shah (University of Washington ); Afra Mashhadi (University of Washington)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation Yijun Tian (University of Notre Dame); Yikun Han (University of Michigan)*; Xiusi Chen (University of California, Los Angeles); Wei Wang (UCLA); Nitesh Chawla (Notre Dame)
Inductive Graph Few-shot Class Incremental Learning Yayong Li (The University of Queensland)*; Peyman Moghadam (CSIRO); Can Peng (University of Oxford); Nan Ye (The University of Queensland); Piotr Koniusz (ANU College of Engineering and Computer Science)
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin (Zhejiang university); Chongming Gao (University of Science and Technology of China); Jiawei Chen (Zhejiang University)*; Sheng Zhou (Zhejiang University); Binbin Hu (Ant Group); Yan Feng (Zhejiang University); Chun Chen (Zhejiang University); Can Wang (Zhejiang University)
Lighter And Better: Flexible Context Adaptation For Retrieval Augmented Generation Zheng Liu (MSRA)*; Chenyuan Wu (University of Science and Technology of China); Ninglu Shao (Renmin University of China); Shitao Xiao (BUPT); Defu Lian (University of Science and Technology of China); Chen Zhang (The Hong Kong Polytechnic University); Chaozhuo Li (Microsoft Research Asia); Senzhang Wang (Central South University)
RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match Zhen Li (Peking University)*; Xinchi Li (ChinaTelecom); Chongyang Tao (Beihang University); Jiazhan Feng (Peking University); Tao Shen (University of Technology Sydney); Can Xu (microsoft); Hao Wang (China Telecom Beijing Research Institute); Dongyan Zhao (Peking University); Shuai Ma (Beihang University)
Effective Learning in the Presence of Unstructured Interactions Lihi Idan (Harvard Business School)*
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers Fang Guo (Zhejiang University)*; Wenyu Li (South China University of Technology); Honglei Zhuang (Google Research); Yun Luo (Westlake university); Yafu Li (Westlake University); Le Yan (Google); Qi Zhu (University of Illisnois Urbana Champaign); Yue Zhang (Westlake University)
Quam: Adaptive Retrieval through Query Affinity Modelling Mandeep Rathee (L3S Research Center, Leibniz Universität Hannover )*; Sean MacAvaney (University of Glasgow); Avishek Anand (TU Delft)
ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control Yin Gu (University of Science and Technology of China)*; Kai Zhang (University of Science and Technology of China); Qi Liu (” University of Science and Technology of China, China”); Runlong Yu (University of Pittsburgh); Xin Lin (University of Science and Technology of China); Xinjie Sun (University of Science and Technology of China)
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding YI FANG (New York University)*; Dongzhe Fan (NewYork University Shanghai); Sirui Ding (UCSF); Ninghao Liu (University of Georgia); Qiaoyu Tan (New York University Shanghai)
Your causal self-attentive recommender hosts a lonely neighborhood Yueqi Wang (University of California, Berkeley)*; Zhankui He (UC, San Diego); Zhenrui Yue (University of Illinois Urbana-Champaign); Julian McAuley (UCSD); Dong Wang (University of Illinois Urbana-Champaign)
HTEA: Heterogeneity-aware Temporal Entity Alignment Jiayun Li (Unversity of Queensland)*; Wen Hua (The Hong Kong Polytechnic University); Fengmei Jin (The Hong Kong Polytechnic University); Xue Li (The University of Queensland )
D$^2$: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction Haowei Xu (Northwestern Polytechnical University)*; Xianghua Li (School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University); Chao Gao (Northwestern Polytechnical University ); Zhen Wang (Northwestern Polytechnical University)
Heterogeneous Graph Diffusion Model Zongwei Li (The University of Hong Kong); Lianghao Xia (University of Hong Kong); Hua Hua (Tencent); shijie zhang (The University of Queensland); SHUANGYANG WANG (Tencent); Chao Huang (University of Hong Kong)*
Heterogeneous Disentangled Collaborative Filtering Lianghao Xia (University of Hong Kong); Meiyan Xie (South China University of Technology); Yong Xu (South China University of Technology); Chao Huang (University of Hong Kong)*
