{"id":5316,"date":"2024-11-28T16:18:15","date_gmt":"2024-11-28T16:18:15","guid":{"rendered":"https:\/\/www.wsdm-conference.org\/2025\/?page_id=5316"},"modified":"2024-12-17T09:26:55","modified_gmt":"2024-12-17T09:26:55","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/www.wsdm-conference.org\/2025\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"
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Review-Based Hyperbolic Cross-Domain Recommendation<\/strong> Yoonhyuk Choi (Seoul National University)*; Jiho Choi (KAIST); Taewook Ko (Seoul National University); Chong-kwon Kim (Korea Institute of Energy Technology)<\/em><\/p>\n

Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation<\/strong> Yoonhyuk Choi (Seoul National University)*; Jiho Choi (KAIST); Taewook Ko (Seoul National University); Chong-kwon Kim (Korea Institute of Energy Technology)<\/em><\/p>\n

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework<\/strong> 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)<\/em><\/p>\n

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding<\/strong> 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)<\/em><\/p>\n

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain<\/strong> 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)<\/em><\/p>\n

Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery<\/strong> Andrea Clementi (Universit\u00e0 di Roma “Tor Vergata”); Luciano Gual\u00e0 (University of Rome Tor Vergata); Luca Pep\u00e8 Sciarria (University of Rome “Tor Vergata”); Alessandro Straziota (University of Rome “Tor Vergata”)*<\/em> <\/p>\n

Hyperdimensional Representation Learning for Node Classification and Link Prediction<\/strong> Abhishek Dalvi (The Pennsylvania State University)*; Vasant G Honavar (Pennsylvania State University)<\/em> <\/p>\n

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning<\/strong> 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)<\/em> <\/p>\n

Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection<\/strong> Jiazhen Chen (University of Waterloo)*; Mingbin Feng (University of Waterloo); Tony S. Wirjanto (University of Waterloo)<\/em> <\/p>\n

Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis<\/strong> 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)<\/em> <\/p>\n

Large Language Model driven Policy Exploration for Recommender Systems<\/strong> jie wang (university of glasgow)*; Alexandros Karatzoglou (Google Deepmind); Ioannis Arapakis (Telefonica Research); Joemon M Jose ( University of Glasgow)<\/em> <\/p>\n

The Initial Screening Order Problem<\/strong> Jose M Alvarez (Scuola Normale Superiore)*; Antonio Mastropietro (Universit\u00e0 di Pisa); Salvatore Ruggieri (University of Pisa – IT)<\/em> <\/p>\n

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations<\/strong> 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)<\/em> <\/p>\n

Empowering Time Series Classification with Multimodal Language Modeling<\/strong> 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)<\/em> <\/p>\n

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts<\/strong> Soojin Yoon (Yonsei University)*; Sungho Ko (Yonsei University); TongYoung Kim (Yonsei University); SeongKu Kang (UIUC); Jinyoung Yeo (Yonsei University); Dongha Lee (Yonsei University)<\/em> <\/p>\n

MedTransTab: Advancing Medical Cross-Table Tabular Data Generation<\/strong> Yuyan Chen (Fudan University)*; Qingpei Guo (Ant Group); Shuangjie You (Georgia Institute of Technology); Zhixu Li (Fudan University)<\/em> <\/p>\n

Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information<\/strong> Tianyi Chen (Boston University); Atsushi Miyauchi (CENTAI Institute)*; Charalampos Tsourakakis (Boston University )<\/em> <\/p>\n

Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning<\/strong> 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)<\/em> <\/p>\n

Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification<\/strong> Malik Khizar Hayat (Macquarie University)*; Shan Xue (Macquarie University); Jia Wu (Macquarie University); Bilal Khan (Macquarie University); Jian Yang (Macquarie University)<\/em> <\/p>\n

Combating Heterogeneous Model Biases in Recommendations via Boosting<\/strong> Jinhao Pan (George Mason University)*; James Caverlee (Texas A&M University); Ziwei Zhu (George Mason University)<\/em> <\/p>\n

Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation<\/strong> 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)<\/em> <\/p>\n

Teach Me How to Denoise: a Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration<\/strong> 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)<\/em> <\/p>\n

Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions<\/strong> Zelin Li (Beijing Institute of Technology); Cheng Zhang (Tianjin University of Finance and Economics); Dawei Song (Beijing Institute of Technology)*<\/em> <\/p>\n

DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation<\/strong> 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)*<\/em> <\/p>\n

Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study<\/strong> Mohammad Shirzadi (The Australian National university )*; Ahad N. Zehmakan (The Australian National University)<\/em> <\/p>\n

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning<\/strong> 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)<\/em> <\/p>\n

A Sublinear Algorithm for Approximate Shortest Paths in Large Networks<\/strong> Sabyasachi Basu (UC Santa Cruz)*; Nadia Koshima (MIT); Talya Eden (Bar Ilan university); Omri Ben-Eliezer (MIT); C. Seshadhri (UCSC)<\/em> <\/p>\n

Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation<\/strong> 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 )<\/em> <\/p>\n

Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems<\/strong> Hongliu CAO (Amadeus)*<\/em> <\/p>\n

CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders<\/strong> Jongwon Park (sungkyunkwan university); Heesoo Jung (Sungkyunkwan University); Hogun Park (Sungkyunkwan University)*<\/em> <\/p>\n

RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan<\/strong> Ziming Li (Hunan University); Yuequn Dou (Hunan University); Youhuan Li (Hunan University)*; Xinhuan Chen (Tencent Inc.); Chuxu Zhang (University of Connecticut)<\/em> <\/p>\n

BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling<\/strong> 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)<\/em> <\/p>\n

Edge Classification on Graphs: New Directions in Topological Imbalance<\/strong> Xueqi Cheng (Vanderbilt university)*; Yu Wang (Vanderbilt university); Yunchao Liu (Vanderbilt University); Yuying Zhao (Vanderbilt university); Charu Aggarwal (IBM); Tyler Derr (Vanderbilt University)<\/em> <\/p>\n

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs<\/strong> YILONG WANG (Penn State University)*; Tianxiang Zhao (Penn State University); Zongyu Wu (The Pennsylvania State University); Suhang Wang (Pennsylvania State University)<\/em> <\/p>\n

Hawkes Point Process-Enhanced Dynamic Graph Neural Networks<\/strong> Zhiqiang Wang (Shanxi University); Baijing hu (ShanXi University); Kaixuan Yao (Shanxi University)*; Jiye Liang (Shanxi University)<\/em> <\/p>\n

Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks<\/strong> Junliang Luo (McGill University)*; Xue Liu (McGill University)<\/em> <\/p>\n

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation<\/strong> Chaejeong Lee (Yonsei University); Jeongwhan Choi (Yonsei University); Hyowon Wi (KAIST); Sung-Bae Cho (Yonsei University); Noseong Park (KAIST)*<\/em> <\/p>\n

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation<\/strong> 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)<\/em> <\/p>\n

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness<\/strong> Junghoon Kim (KAIST)*; Junmo Lee (KAIST); Yeonjun In (KAIST); Kanghoon Yoon (KAIST); Chanyoung Park (KAIST)<\/em> <\/p>\n

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data<\/strong> 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)<\/em> <\/p>\n

ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning<\/strong> 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)*<\/em> <\/p>\n

Context Embeddings for Efficient Answer Generation in RAG<\/strong> David Rau (University of Amsterdam)*; Shuai Wang (The University of Queensland); Herv\u00e9 DEJEAN (Naver Labs Europe); St\u00e9phane Clinchant ( Naver Labs Europe); Jaap Kamps (University of Amsterdam)<\/em> <\/p>\n

An aspect performance-aware hypergraph neural network for review-based recommendation<\/strong> 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)<\/em> <\/p>\n

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions<\/strong> 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)<\/em> <\/p>\n

A Contrastive Framework with User, Item and Review Alignment for Recommendation<\/strong> Hoang V. Dong (Singapore Management University)*; Yuan Fang (Singapore Management University); Hady W. Lauw (Singapore Management University)<\/em> <\/p>\n

Sequential diversification with provable guarantees<\/strong> Honglian Wang (KTH Royal Institute of Technology); Sijing Tu (KTH Royal Institute of Technology); Aristides Gionis (KTH Royal Institute of Technology)*<\/em> <\/p>\n

DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation<\/strong> Shuai Zhang (Xidian University); Hua Chu (Xidian University); Jianan Li (Xidian University); Yangtao Zhou (Xidian University)*; Shirong Wang (Xidian University); Qiaofei Sun (Xidian University)<\/em> <\/p>\n

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising<\/strong> 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)<\/em> <\/p>\n

Mining Topics towards ChatGPT using Disentangled Contextualized-neural Topic Model<\/strong> 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)<\/em> <\/p>\n

Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation<\/strong> 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)*<\/em> <\/p>\n

Simple Graph Neural Networks for Recommendation<\/strong> Guoxuan Chen (The University of Hong Kong)*; Lianghao Xia (University of Hong Kong); Chao Huang (University of Hong Kong)<\/em> <\/p>\n

Enhancing Code Search Intent with Programming Context Exploration<\/strong> 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”)<\/em> <\/p>\n

Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information<\/strong> Zihan Qiu (Inner Mongolia University); Xiaoling Zhou (Inner Mongolia University); Chunyan An (Inner Mongolia University)*; Qiang Yang (University of Florida); Zhixu Li (Fudan University)<\/em> <\/p>\n

AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions<\/strong> Fanqi Meng (Beijing Jiaotong University); Zhiyuan Zhang (Beijing Jiaotong University)*<\/em> <\/p>\n

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection<\/strong> Anran Zhang (Beijing Information Science and Technology University)*; Xingfen Wang (Beijing Information Science and Technology University); Yuhan Zhao (Hong Kong Baptist University)<\/em> <\/p>\n

GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection<\/strong> 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)*<\/em> <\/p>\n

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation<\/strong> 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)<\/em> <\/p>\n

IMPO: Interpretable Memory-based Prototypical Pooling<\/strong> Alessio Ragno (Sapienza University of Rome)*; Roberto Capobianco (Sony AI)<\/em> <\/p>\n

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation<\/strong> 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)<\/em> <\/p>\n

Personalised Outfit Recommendation via History-aware Transformers<\/strong> Myong Chol Jung (Amazon)*; Julien Monteil (Amazon); Philip Schulz (Amazon); Volodymyr Vaskovych (Amazon)<\/em> <\/p>\n

LLM Simulator for Online Billion-Scale Item Cold-Start Recommendation<\/strong> 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)<\/em> <\/p>\n

DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting<\/strong> 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)<\/em> <\/p>\n

Density-aware and Cluster-based Federated Anomaly Detection on Data Streams<\/strong> 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))<\/em> <\/p>\n

Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records<\/strong> 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)<\/em> <\/p>\n

Training MLPs on Graphs without Supervision<\/strong> Zehong Wang (University of Notre Dame)*; Zheyuan Zhang (University of Notre Dame); Chuxu Zhang (University of Connecticut); Yanfang Ye (University of Notre Dame)<\/em> <\/p>\n

Explainable CTR prediction via LLM reasoning<\/strong> Xiaohan Yu (Huawei Inc.)*; Li . Zhang (University College London); Chong Chen (huawei)<\/em> <\/p>\n

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation<\/strong> Mingrui Liu (Nanyang Technological University)*; Sixiao Zhang (Nanyang Technological University); Cheng Long (Nanyang Technological University)<\/em> <\/p>\n

Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning<\/strong> Yiyue Qian (University of Notre Dame)*; Tianyi Ma (University of Notre Dame); Chuxu Zhang (University of Connecticut); Yanfang Ye (University of Notre Dame)<\/em> <\/p>\n

Temporal Linear Item-Item Model for Sequential Recommendation<\/strong> Seongmin Park (Sungkyunkwan University)*; Mincheol Yoon (Sungkyunkwan University); Minjin Choi (Sungkyunkwan University); Jongwuk Lee (Sungkyunkwan University)<\/em> <\/p>\n

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models<\/strong> 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)<\/em> <\/p>\n

An Edge-Based Decomposition Framework for Temporal Networks<\/strong> Lutz Oettershagen (University of Liverpool)*; Athanasios Konstantinidis (Luiss University); Giuseppe F. Italiano (LUISS University)<\/em> <\/p>\n

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models<\/strong> 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)<\/em> <\/p>\n

VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory<\/strong> Nhu-Thuat Tran (Singapore Management University)*; Hady W. Lauw (Singapore Management University)<\/em> <\/p>\n

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing<\/strong> 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)<\/em> <\/p>\n

Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity<\/strong> Giulia Preti (CENTAI); Matteo Riondato (Amherst College); Aristides Gionis (KTH Royal Institute of Technology); Gianmarco De Francisci Morales (CENTAI)*<\/em> <\/p>\n

Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multi-modal Recommendation<\/strong> Rongqing Kenneth Ong (Nanyang Technological University)*; Andy W H Khong (Nanyang Technological University)<\/em> <\/p>\n

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction<\/strong> 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)<\/em> <\/p>\n

Improving FIM Code Completions via Context & Curriculum Based Learning<\/strong> Hitesh Sagtani (Sourcegraph)*; Rishabh Mehrotra (Sourcegraph); Beyang Liu (Sourcegraph)<\/em> <\/p>\n

Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users <\/strong> Jongjin Kim (Seoul National University)*; U Kang (Seoul National University)<\/em> <\/p>\n

Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources<\/strong> Chengqing Li (Xiangtan University)*; Lulu Wang (Xiangtan University)<\/em> <\/p>\n

Untapping the Power of Indirect Relationships in Entity Summarization<\/strong> Atefeh Moradan (Aarhus University)*; Mohammad Sorkhpar (Indiana State University); Atsushi Miyauchi (CENTAI Institute); Davide Mottin (Aarhus University); Ira Assent (Aarhus University)<\/em> <\/p>\n

Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences<\/strong> 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)<\/em> <\/p>\n

Heterophilic Graph Neural Networks Optimization with Causal Message-passing<\/strong> 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\u2019s Ark Lab ); Fugee Tsung (Hong Kong University of Science and Technology)<\/em> <\/p>\n

HaGAR: Hardness-aware Generative Adversarial Recommender<\/strong> 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)*<\/em> <\/p>\n

UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction<\/strong> Xu Yang (Tencent)*; Guangyuan Yu (Tencent); Jun He (Tencent)<\/em> <\/p>\n

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models<\/strong> 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)<\/em> <\/p>\n

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems<\/strong> 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)<\/em> <\/p>\n

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation<\/strong> 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)<\/em> <\/p>\n

Adaptive Loss-based Curricula for Neural Team Recommendation<\/strong> Reza R.B Barzegar (University of windsor); Marco N Kurepa (University of British Columbia); Hossein Fani (University of Windsor)*<\/em> <\/p>\n

Demystify Epidemic Containment in Directed Networks: Theory and Algorithms<\/strong> Yinhan He (UVA)*; Chen Chen (University of Virginia); Song Wang (University of Virginia); Guanghui Min (University of Virginia); Jundong Li (University of Virginia)<\/em> <\/p>\n

Does Memorization Affect LLMs’ Social Reasoning? An Evaluation on Seen and Unseen Queries<\/strong> 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)<\/em> <\/p>\n

Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation<\/strong> 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)<\/em> <\/p>\n

Inductive Graph Few-shot Class Incremental Learning<\/strong> 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)<\/em> <\/p>\n

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective<\/strong> 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)<\/em> <\/p>\n

Lighter And Better: Flexible Context Adaptation For Retrieval Augmented Generation<\/strong> 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)<\/em> <\/p>\n

RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match<\/strong> 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)<\/em> <\/p>\n

Effective Learning in the Presence of Unstructured Interactions<\/strong> Lihi Idan (Harvard Business School)*<\/em> <\/p>\n

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers<\/strong> 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)<\/em> <\/p>\n

Quam: Adaptive Retrieval through Query Affinity Modelling<\/strong> Mandeep Rathee (L3S Research Center, Leibniz Universit\u00e4t Hannover )*; Sean MacAvaney (University of Glasgow); Avishek Anand (TU Delft)<\/em> <\/p>\n

ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control<\/strong> 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)<\/em> <\/p>\n

UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding<\/strong> YI FANG (New York University)*; Dongzhe Fan (NewYork University Shanghai); Sirui Ding (UCSF); Ninghao Liu (University of Georgia); Qiaoyu Tan (New York University Shanghai)<\/em> <\/p>\n

Your causal self-attentive recommender hosts a lonely neighborhood<\/strong> 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)<\/em> <\/p>\n

HTEA: Heterogeneity-aware Temporal Entity Alignment<\/strong> 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 )<\/em> <\/p>\n

D$^2$: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction<\/strong> 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)<\/em> <\/p>\n

Heterogeneous Graph Diffusion Model<\/strong> 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)*<\/em> <\/p>\n

Heterogeneous Disentangled Collaborative Filtering<\/strong> 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)*<\/em><\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

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: […]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"rank_math_lock_modified_date":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-5316","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/pages\/5316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/comments?post=5316"}],"version-history":[{"count":6,"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/pages\/5316\/revisions"}],"predecessor-version":[{"id":5746,"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/pages\/5316\/revisions\/5746"}],"wp:attachment":[{"href":"https:\/\/www.wsdm-conference.org\/2025\/wp-json\/wp\/v2\/media?parent=5316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}