{"id":2551,"date":"2025-12-06T09:58:38","date_gmt":"2025-12-06T09:58:38","guid":{"rendered":"https:\/\/wsdm-conference.org\/2026\/?page_id=2551"},"modified":"2026-02-04T22:12:44","modified_gmt":"2026-02-04T22:12:44","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/wsdm-conference.org\/2026\/index.php\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"
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Full Papers<\/h4>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Fangye Wang and Xiaoran Yan. DGNet: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network<\/p>\n

Zhiwei Yang, Haimei Qin, Hao Peng, Xiaoyan Yu, Li Sun and Lei Jiang. Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection<\/p>\n

Kai Zhang, Conchao Wang, Liqian Peng, Alec Go and Xiaozhong Liu. Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning<\/p>\n

Yuntong Hu, Junxiang Wang and Liang Zhao. Network Tomography with Path-Centric Graph Neural Network<\/p>\n

Shui Liu, Mingyuan Tao, Maofei Que, Pan Li and Zhuoran Zhuang. APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce<\/p>\n

Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng and Jing Zhang. MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation<\/p>\n

Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu and Dawei Cheng. SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory<\/p>\n

Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang and Wei Lin. CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce<\/p>\n

Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian McAuley and Lina Yao. Dual Conditional Diffusion Models for Sequential Recommendation<\/p>\n

Chaohao Yuan, Zhenjie Song, Ercan Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng and Yu Rong. ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning<\/p>\n

Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong and Jundong Li. MolEdit: Knowledge Editing for Multimodal Molecule Language Models<\/p>\n

Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu and Suhang Wang. Unlearning Inversion Attacks for Graph Neural Networks<\/p>\n

Sheng-Po Tseng, Lo-Yao Yeh, Hui-Ju Hung and Chih-Ya Shen. Federated Watermarking of Deep Neural Networks with Distributed Verification<\/p>\n

Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu and Enhong Chen. Can Slow-thinking LLMs Reason Over Time: Empirical Studies in Time Series Forecasting<\/p>\n

Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang and Qi Liu. TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning<\/p>\n

Yue Yu, Ting Bai, Hengzhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan and Chuan Shi. C^2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models<\/p>\n

Shijie Luo, Xinyuan Lu, Qinpei Zhao and Weixiong Rao. Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models<\/p>\n

Yue Zhang, Xiaopeng Li, Shicheng Zhou, Zhiliang Tian, Yifu Gao, Shiyi Zhang, Wenqing Hou, Yuying Liu and Bin Zhou. KnowFC: Navigating Knowledge Conflicts in Large Language Model-based Fact-Checking<\/p>\n

Ling Wang, Yan Liu, Jicang Lu, Xiaoyu Guo, Zhipeng Li and Ningbo Huang. Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding<\/p>\n

Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang and Xiang-Yang Li. Fast-DataShapley: Neural Modeling for Training Data Valuation<\/p>\n

Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand and Adam Jatowt. TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions<\/p>\n

Hwanjun Song, Jeonghwan Choi and Minseok Kim. Aligning Extraction and Generation for Robust Retrieval-Augmented Generation<\/p>\n

Jinkwon Lee, Giseong Kim, Hyeji Yang, Dongyoung Tcha and Hayoung Oh. MerFT: A Framework for Social Conflict Meme Exploration via Multimodal Retrieval-Augmented Fine-tuning<\/p>\n

Lei Xia, Yuyan Chen, Xiangqin Chen, Jixiang Fan, Yan Zan, Xiaomei Li and Zhixu Li. Constructing Commonsense Knowledge Graph for Persona Consistency<\/p>\n

Giulia Preti, Matteo Riondato, Aristides Gionis and Gianmarco De Francisci Morales. DSP: A Statistically-Principled Structural Polarization Measure<\/p>\n

Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li and Hui Li. Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation<\/p>\n

Wenwen Zhao and Li Li. XLingLearn: Balancing Alignment and Robustness for Zero-Shot Cross-Lingual Transfer<\/p>\n

Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu and Huawei Shen. Multi-Personality Generation of LLMs at Decoding-time<\/p>\n

Xiangming Li, Hua Chu, Chengyu Feng, Jianan Li, Yangtao Zhou, Qingshan Li and Wanqiang Yang. A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation<\/p>\n

Taeho Kim, Junpyo Kim, Won-Yong Shin and Sang-Wook Kim. Leveraging Retrieval-Augmented Language Models for Accurate Item\/Feature Selection in Conversational Recommender Systems<\/p>\n

Yan Jiang, Ruihong Qiu and Zi Huang. Does Homophily Help in Robust Test-time Node Classification?<\/p>\n

Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu and Haobing Liu. Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders<\/p>\n

Taeyoung Yun, Inhyuck Song, Woocheol Shin, Yujin Shin, Sungpil Woo, Sunhwan Lim and Jinkyoo Park. Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models<\/p>\n

Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti and Xuyun Zhang. DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation<\/p>\n

Jie Zhang, Dongsheng Bi, Tao Sun, Minghui Yang, Jian Wang and Yiwei Wang. TOOL-CURE: Tool Selection via Curriculum-Enhanced Reinforcement Learning with Sample Screening for LLMs<\/p>\n

Wonhyung Shin and Jong-June Jeon. Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance<\/p>\n

Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin and Qing Li. Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs<\/p>\n

Jihyeong Jeon, Jeongyoung Lee and U Kang. Diffusion Models for Risk-Aware Portfolio Optimization<\/p>\n

Minmao Wang, Rui Zhang, Shijie Yi, Qingpeng Cai, Likang Wu, Hongke Zhao, Fei Pan and Peng Jiang. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction<\/p>\n

Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti and Guanfeng Liu. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation<\/p>\n

Daoze Zhang, Zhanheng Nie, Jianyu Liu, Chenghan Fu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu and Bo Zheng. MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding<\/p>\n

Chun Fang, Luowen Liu, Kun Huang, Tao Ruan, Sheng Yan, Zhen Wang, Huan Li, Qiang Liu and Xingxing Wang. A Joint Auction Framework with Externalities and Adaptation<\/p>\n

Thomas Bailie, Yun Sing Koh and S. Karthik Mukkavilli. HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling<\/p>\n

Xin Xia, Hongzhi Yin and Shane Culpepper. On-Device Large Language Models for Sequential Recommendation<\/p>\n

Jian Wang, Yanjie Liang, Yuqing Sun and Gong Bin. EvioSum: An Evidence-Guided Generation Framework for Faithful and Interpretable Opinion Summarization<\/p>\n

Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai and Guorui Zhou. OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service<\/p>\n

Chenhan Zhang, Benjamin Zhao, Hassan Asghar, Weiqi Wang, An Liu and Dali Kaafar. Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs<\/p>\n

Junda Ye, Zhongbao Zhang, Zhizhen He, Feiyang Wang and Li Sun. Towards Multifaceted Graph Condensation in Discrete Realm<\/p>\n

Zhouhui Wu, Zhuohua Yang, Jiaojiao Jiang, Shuiqiao Yang and Nan Sun. DagFC: Dependency-Aware Fact-Checking via Claim-Constructed Knowledge Graphs and Large Language Models<\/p>\n

Di Fan and Chuanhou Gao. Identifiable Disentangled Representation Learning for Causal Inference under Network Interference<\/p>\n

N\u00edcolas Roque dos Santos, Dawon Ahn, Diego Minatel, Alneu de Andrade Lopes and Evangelos Papalexakis. Multi-view Graph Condensation via Tensor Decomposition<\/p>\n

Jesus Lovon-Melgarejo, Jose G Moreno, Christine Damase-Michel and Lynda Tamine. ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction<\/p>\n

Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Di Wang, Yizhen Zhang, Langming Liu, Jiaqi Liu, Wenbo Su, Pengjie Wang, Jian Xu and Bo Zheng. Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm\n based Large User Model<\/p>\n

Ye Qin, Jingchao Wang, Yang Shi, Haiying Huang, Junxu Li, Weijian Liu, Tinghui Chen and Jinghui Qin. PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning<\/p>\n

Yilei Zhao, Wentao Zhang, Tingran Yang, Yong Jiang, Fei Huang and Wei Yang Lim. STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading<\/p>\n

Ruxue Han, Lianyong Qi, Chao Yan, Weiyi Zhong, Boyuan Yan, Bing Zhao, Xiaoran Zhao, Zhikang Feng, Xiaolong Xu, Haolong Xiang and Xuyun Zhang. GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and\n Guidance Optimization<\/p>\n

Yichi Zhang, Cheng Zhang, Haifeng Sun, Qi Qi, Lejian Zhang, Jing Wang and Jingyu Wang. DiffNBR: Spatio-Temporal Diffusion with Information Bottleneck for Next-Basket Recommendation<\/p>\n

Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui and Chen Ma. Have We Really Understood Collaborative Information? An Empirical Investigation<\/p>\n

Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang and Geyong Min. SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection<\/p>\n

Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, Seongku Kang and Hwanjo Yu. Capturing User Interests from Data Streams for Continual Sequential Recommendation<\/p>\n

Jinkyeong Choi, Yejin Noh and Donghyeon Park. SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation<\/p>\n

Hongsheng Dong, Haolong Xiang, Xiaolong Xu and Xuyun Zhang. Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling<\/p>\n

Hongtao Wang, Renchi Yang and Wenqing Lin. NILC: Discovering New Intents with LLM-assisted Clustering<\/p>\n

Hao Huang and Maria-Esther Vidal. Joint Graph Learning for Robust Causal Inference over Knowledge Graphs<\/p>\n

Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang and Tun Lu. LLM Agent-based Shilling Attack on Recommender Systems<\/p>\n

Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen and Xiaofang Zhou. Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models<\/p>\n

Jimyeung Seo, Eun-Yeong Jo, Hye-Yoon Baek, Dongcheon Lee, Xiongnan Jin and Byungkook Oh. Image-Guided Debiasing Distillation with Preference Alignment Across Multi-News Histories<\/p>\n

Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee and Hyuk-Yoon Kwon. Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation<\/p>\n

Rikiya Takehi, Fernando Diaz and Tetsuya Sakai. Diversification as Risk Minimization<\/p>\n

Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen and Pan Li. CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning<\/p>\n

Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan and Qing Li. Continuous-time Discrete-space Diffusion Model for Recommendation<\/p>\n

Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo and Xueqi Cheng. How Do LLM-Generated Texts Impact Term-Based Retrieval Models?<\/p>\n

Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao and Zhiqiang Xu. Sharpness-aware Federated Graph Learning<\/p>\n

Jaebeom You, Jaewon Lee, Sehun Lee and Hyuk-Yoon Kwon. From Data to Model]{From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs<\/p>\n

Honglian Wang, Haoyun Zhou and Aristides Gionis. Fairness-aware PageRank via Edge Reweighting<\/p>\n

Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He and Zhong Ming. Automated Information Flow Selection for Multi-scenario Multi-task Recommendation<\/p>\n

Zhuo Liu, Yihang Li and Wei Wei. EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation<\/p>\n

Bo Liu, Hongyan Li and Shenda Hong. LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling<\/p>\n

Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong and Jun Xu. Counteracting the Delayed Conversions in OCPC with Survival Analysis<\/p>\n

Ruohan Zong, Yang Zhang, Zhenrui Yue and Dong Wang. Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human\u2013LLM Mixed Generation Paradigm<\/p>\n

Wei Li, Jiaxing Xu, Xia Dong and Yiping Ke. Bridge Breaking for Graph Neural Networks<\/p>\n

Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo and Xueqi Cheng. Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection<\/p>\n

Sethupathy Parameswarn, Suresh Sundaram and Yuan Fang. Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs<\/p>\n

Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah and Liam Collins. Sequential Data Augmentation for Generative Recommendation<\/p>\n

Mona Zamiri and Alexander Kotov. Conversational Entity Retrieval from a Knowledge Graph using Aggregation of Fine-grained Relevance Signals with Graph Convolutions and Self-Attention<\/p>\n

Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews and Kishlay Jha. TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling<\/p>\n

Qihao Huang. LLM-Guided Beam Search for Decision Graph Optimization with Dynamic Prompting<\/p>\n

Abdulla Alshabanah, Yuxin Yang and Murali Annavaram. SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations<\/p>\n

Yibo Zhou, Xiaolong Xu, Haolong Xiang, Xuyun Zhang and Siyu Wu. Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM<\/p>\n

Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye and Bowen Du. RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems<\/p>\n

Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang and Enhong Chen. Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders<\/p>\n

Shisong Chen, Ziyu Zhou, Yicong Zhao, Chengyi Yang, Zhixu Li, Yanghua Xiao, Xin Lin, Xiaojun Meng, Jiansheng Wei and Kuien Liu. Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational\n Thinking<\/p>\n

Shisong Chen, Jiaan Wang, Chengyi Yang, Yanghua Xiao, Zhixu Li and Xin Lin. Large Language Model Judged Self-Training for Named Entity Recognition<\/p>\n

Yezi Liu, Hanning Chen, Yanning Shen and Mohsen Imani. Debias Once for All: A Data-Centric Strategy for Fair Machine Learning<\/p>\n

Hongseon Yeom, Jaeyoul Shin, Soojin Min, Jeongmin Yoon, Seunghak Yu and Dongyeop Kang. Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions<\/p>\n

Jie Luo, Wenyu Zhang, Xinming Zhang and Yuan Fang. Time-Aware Adaptive Side Information Fusion for Sequential Recommendation<\/p>\n

Zheng Nie and Peijie Sun. Hyper-Adaptive Dual-Stage Prompting for Hallucination-Aware Explainable Recommendation<\/p>\n

Wenhao Zhu, Haonan Dong, Guojie Song and Zhu Zhengzhou. Addressing Aggregation-Induced Information Loss in Graph Neural Networks<\/p>\n

Haitian Chen, Qingyao Ai, Xiao Wang, Yujia Zhou, Yiqun Liu, Fen Lin and Qin Liu. Unsupervised dense retrieval with conterfactual contrastive learning<\/p>\n

Bin Chen, Yu Kang, Li Ma, Yue Ding and Xiaofeng Gao. Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Short Papers<\/h4>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Li Yang Chang, Yuan Fang, Ming-Feng Tsai and Chuan-Ju Wang. G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations<\/p>\n

Hakjun Moon and Simon Woo. CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image Captioning<\/p>\n

Wonduk Seo, Hyunjin An and Seunghyun Lee. A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry<\/p>\n

Dongning Ma, Ruixuan Wang and Xun Jiao. Stealing Black-box Hyperdimensional Computing Models Without Data<\/p>\n

Vedant Thakkar. Precision vs. Discovery: An Adaptive Agent Navigating the Cold-Start Trade-off<\/p>\n

Guy Elovici, Haggai Roitman, Yotam Eshel and Bracha Shapira. Sequential Recommendation with Generative Intent Prediction Utilizing User Search-Behavior<\/p>\n

Tao Wang, Jinlong Guo, Yuliang Yan and Xun Luo. Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework<\/p>\n

Devesh Sharma, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra and Jasabanta Patro. Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks<\/p>\n

Bo Liu and Yuefeng Ma. Confounder-Aware Causal Graph Learning Framework for Multivariate Time Series Analysis<\/p>\n

Xiwen Chen, Yen-Chieh Lien, Susan Liu, Mar\u00eda Casta\u00f1os, Abolfazl Razi, Xiaoting Zhao and Congzhe Su. Factorized Transport Alignment for Multimodal and Multiview E-commerce Representation Learning<\/p>\n

Tengkai Yu, Venkatesh Srinivasan and Alex Thomo. Efficient Vector-Based Label Propagation for Massive Low-Rank Graphs<\/p>\n

Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo and Bin Yang. Waterlogformer: A Multimodal Model for Waterlogging Prediction<\/p>\n

Kangwei Liu, Mengru Wang, Yujie Luo, Yuan Lin, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi and Shumin Deng. LookAhead Tuning: Safer Language Models via Partial Answer Previews<\/p>\n

Wei Cheng, Yucheng Lu, Boyang Xia, Jiangxia Cao, Kuan Xu, Mingxing Wen, Wei Jiang, Jiaming Zhang, Zhaojie Liu, Liyin Hong, Kun Gai and Guorui Zhou. ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling<\/p>\n

Jiangxia Cao, Ruochen Yang, Xiang Chen, Changxin Lao, Yueyang Liu, Yusheng Huang, Yuanhao Tian, Xiangyu Wu, Shuang Yang, Zhaojie Liu and Guorui Zhou. Foresight Prediction Enhanced Live-Streaming Recommendation<\/p>\n

Shifu Bie, Jiangxia Cao, Zixiao Luo, Yichuan Zou, Lei Liang, Lu Zhang, Linxun Chen, Zhaojie Liu, Xuanping Li, Guorui Zhou, Kaiqiao Zhan and Kun Gai. PushGen: Push Notifications Generation with LLM<\/p>\n

Pratik Lahiri, Bingqing Ge, Zhou Qin, Aditya Jumde, Shuning Huo, Lucas Scottini, Mahmoud Mamlouk, Yi Liu and Wenyang Liu. Designing e-Commerce Search Whole Page Customer Experience Metrics<\/p>\n

Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat and Ebrahim Bagheri. Self-Paced Fair Ranking with Loss as a Proxy for Bias<\/p>\n

Himanshu Gharat, Himanshi Agrawal and Gourab K Patro. Bias and Discrimination in Memory-Enhanced Personalized Agents<\/p>\n

Linus Aronsson, Han Wu and Morteza Haghir Chehreghani. Cold-Start Active Correlation Clustering<\/p>\n

Garrett Cornett, Minh Phu Vuong and Chul-Ho Lee. Efficient Monte Carlo Algorithms for Approximating Katz Centrality on Large Graphs<\/p>\n

Jhe-Wei Tsai, Cheng-Ru Chou, Pei-Xuan Li and Hsun-Ping Hsieh. Robust Traffic Forecasting under Anomalies using Spatiotemporal Anomaly Detection and Memory-Guided GNNs<\/p>\n

Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin and Huan Liu. On Causal and Anticausal LLM-based Data Synthesis<\/p>\n

Yipeng Zhang, Bowen Liu, Xiaoshuang Zhang, Aritra Mandal, Canran Xu and Zhe Wu. REFLEX: Reinforcement Feedback Learning with Large Language Models for E-commerce Query Expansion<\/p>\n

Jiawei He, Zhanpeng Guan, Fuwei Zhang, Zhao Zhang and Yongjun Xu. Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval<\/p>\n

Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan and Kei Nakagawa. Risk-Aware Utility Re-Ranking for Financial Asset Recommendation<\/p>\n

Nuo Chen, Hanpei Fang, Jiqun Liu, Wilson Wei, Tetsuya Sakai and Xiao-Ming Wu. Mitigating the Threshold Priming Effect in Large Language Model\u2013Based Relevance Judgments via Personality Simulation<\/p>\n

Lu Chen, Peng Yi, Xiaoyue Hou, Cheng Yang and Xiongcai Cai. When Modalities Go Missing: Early Fusion for Multimodal Recommendation<\/p>\n

Imran Ahsan, Hyunwook Yu, Jinsung Kim and Mucheol Kim. Forget and Explain: Transparent Verification of GNN Unlearning<\/p>\n

Won-Seok Hwang, Jeong-Han Yun and Byung Gil Min. N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy<\/p>\n

Shivam Verma, Hannes Karlbom, Yu Zhao, Nick Topping, Vivian Chen, Kieran Stanley and Bharath Rangarajan. Cold-Starting Podcast Ads and Promotions with Multi-Task Learning: A Spotify Case Study<\/p>\n

Tran Khang, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao and Binh Nguyen. MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression<\/p>\n

Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang and Wen-Chih Peng. Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression<\/p>\n

Sullivan Castro, Artem Betlei, Thomas Di Martino and Nadir El Manouzi. Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling<\/p>\n

Satyam Kumar and Prakash Kumar Panigrahi. LumenCascadeFusion: A Novel Gated Residual Module for Enhanced Code Vulnerability Detection<\/p>\n

Md Shoaib Ahmed and Francesca Spezzano. A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors<\/p>\n

Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma and Yu Wang. Knowledge Homophily in Large Language Models<\/p>\n

Soohwan Jeong, Mingyu Choi, Joon-Young Kim, Susik Yoon and Sungsu Lim. Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations<\/p>\n

Woo-Seong Yun, Min-Seong Kim and Yoon-Sik Cho. ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability<\/p>\n

Mouly Dewan, Jiqun Liu and Chirag Shah. TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval<\/p>\n

Zheng Ju, Qinqin Wang, Diarmuid O’Reilly-Morgan, Elias Tragos, Neil Hurley, Ruihai Dong and Aonghus Lawlor. Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation<\/p>\n

Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu and Xiao-Ming Wu. Accelerating Generative Recommendation via Simple Categorical User Sequence Compression<\/p>\n

Pongsakorn Jirachanchaisiri, Saranya Maneeroj and Atsuhiro Takasu. DDIREC: Domain-Disentanglement on Item Representations for Cross-Domain Recommendation<\/p>\n

Sooho Moon and Yunyong Ko. How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion<\/p>\n

Shailesh Dahal, Ratri Mukherjee and Kishlay Jha. Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings<\/p>\n

Mostofa Najmus Sakib and Francesca Spezzano. Credibility Drift Attacks: LLM Crafted Adversarial Manipulations That Flip News Believability<\/p>\n

Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand and Seung-Won Hwang. Listwise Ranker for Corpus Feedback<\/p>\n

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Full Papers Fangye Wang and Xiaoran Yan. DGNet: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network Zhiwei Yang, Haimei Qin, Hao Peng, Xiaoyan Yu, Li Sun and Lei Jiang. Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection Kai Zhang, Conchao Wang, Liqian Peng, Alec Go and Xiaozhong Liu. Privacy-preserved LLM Cascade via CoT-enhanced […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/pages\/2551"}],"collection":[{"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/comments?post=2551"}],"version-history":[{"count":11,"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/pages\/2551\/revisions"}],"predecessor-version":[{"id":2907,"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/pages\/2551\/revisions\/2907"}],"wp:attachment":[{"href":"https:\/\/wsdm-conference.org\/2026\/index.php\/wp-json\/wp\/v2\/media?parent=2551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}