WSDM A

187 papers

YearTitle / Authors
2026A Comprehensive Guide to Time-Series Anomaly Detection.
John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas
2026A Joint Auction Framework with Externalities and Adaptation.
Chun Fang, Luowen Liu, Kun Huang, Tao Ruan, Sheng Yan, Zhen Wang, Huan Li, Qiang Liu, Xingxing Wang
2026A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors.
Md Shoaib Ahmed, Francesca Spezzano
2026A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry.
Wonduk Seo, Hyunjin An, Seunghyun Lee
2026A Preliminary Agentic Framework for Matrix Deflation.
Paimon Goulart, Evangelos E. Papalexakis
2026A Real-Time System to Populate FRA Form 57 from News.
Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis
2026A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation.
Xiangming Li, Hua Chu, Chengyu Feng, Jianan Li, Yangtao Zhou, Qingshan Li, Wanqiang Yang
2026A Two-Stage Anomaly-Aware Framework for Robust Traffic Forecasting with Memory-Guided GNNs.
Pei-Xuan Li, Cheng-Ru Chou, Jhe-Wei Tsai, Hsun-Ping Hsieh
2026APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce.
Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Zhuoran Zhuang
2026ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability.
Woo-Seong Yun, Min-Seong Kim, Yoon-Sik Cho
2026Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling.
Sullivan Castro, Artem Betlei, Thomas Di Martino, Nadir El Manouzi
2026Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression.
Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng
2026Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders.
Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu
2026Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation.
Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti, Guanfeng Liu
2026Addressing Aggregation-Induced Information Loss in Graph Neural Networks.
Wenhao Zhu, Haonan Dong, Guojie Song, Zhengzhou Zhu
2026Aligning Extraction and Generation for Robust Retrieval-Augmented Generation.
Hwanjun Song, Jeonghwan Choi, Minseok Kim
2026An Application for Development and Interactive Visual Engagement with the SHARECITY 200 Food Sharing Initiative (FSI) database in the CULTIVATE project.
Anastasiia Potyagalova, Hyunji Cho, Ivan Bacher, Hao Wu, Patricia Buffini, Anna R. Davies, Gareth J. F. Jones
2026Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives.
Jimmy Lin, Ronak Pradeep, Gilad Mishne, Pankaj Gupta
2026Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM.
Yibo Zhou, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Siyu Wu
2026Automated Information Flow Selection for Multi-scenario Multi-task Recommendation.
Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2026Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework.
Tao Wang, Xun Luo, Jinlong Guo, Yuliang Yan
2026Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval.
Jiawei He, Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Yongjun Xu
2026Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions.
Hongseon Yeom, Jaeyoul Shin, Soojin Min, Jeongmin Yoon, Seunghak Yu, Dongyeop Kang
2026Bridge Breaking for Graph Neural Networks.
Wei Li, Jiaxing Xu, Xia Dong, Yiping Ke
2026Building Human-Aligned AI through Representation Augmentation and Structuring.
Hanjia Lyu
2026C
Yue Yu, Ting Bai, HengZhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan, Chuan Shi
2026CAT-ID
Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2026Calibration in Dynamic Recommender Systems.
Kun Lin
2026Can LLMs Uphold Research Integrity? Evaluating the Role of LLMs in Peer Review Quality.
Negar Arabzadeh, Sajad Ebrahimi, Soroush Sadeghian, Seyed Mohammad Hosseini, Alireza Daqiq, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri
2026Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.
Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen
2026Capturing User Interests from Data Streams for Continual Sequential Recommendation.
Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
2026Causality with Knowledge Graphs: Semantics and Inference.
Hao Huang
2026CelebCaption: A Benchmark Dataset for Identity-Sensitive Unlearning in Image Captioning.
Hakjun Moon, Simon S. Woo
2026ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling.
Wei Cheng, Yucheng Lu, Boyang Xia, Jiangxia Cao, Kuan Xu, Mingxing Wen, Wei Jiang, Jiaming Zhang, Zhaojie Liu, Liyin Hong, Kun Gai, Guorui Zhou
2026CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning.
Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li
2026Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational Thinking.
Shisong Chen, Ziyu Zhou, Yicong Zhao, Chengyi Yang, Zhixu Li, Yanghua Xiao, Xin Lin, Xiaojun Meng, Jiansheng Wei, Kuien Liu
2026Cold-Start Active Correlation Clustering.
Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
2026Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify.
Shivam Verma, Hannes Karlbom, Yu Zhao, Nick Topping, Vivian Chen, Kieran Stanley, Bharath Rengarajan
2026Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models.
Shijie Luo, Xinyuan Lu, Qinpei Zhao, Weixiong Rao
2026Confounder-Aware Causal Graph Learning Framework for Multivariate Time Series Analysis.
Bo Liu, Yuefeng Ma
2026Constructing Commonsense Knowledge Graph for Persona Consistency.
Lei Xia, Yuyan Chen, Xiangqin Chen, Jixiang Fan, Weinan Dai, Xiaomei Li, Zhixu Li
2026Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings.
Shailesh Dahal, Ratri Mukherjee, Kishlay Jha
2026Continuous-time Discrete-space Diffusion Model for Recommendation.
Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan, Qing Li
2026Conversational Entity Retrieval from a Knowledge Graph using Aggregation of Fine-grained Relevance Signals with Graph Convolutions and Self-Attention.
Mona Zamiri, Alexander Kotov
2026Counteracting the Delayed Conversions in OCPC with Survival Analysis.
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu
2026Credibility Drift Attacks: LLM Crafted Adversarial Manipulations That Flip News Believability.
Mostofa Najmus Sakib, Francesca Spezzano
2026Crowdsourced Collection and Visualization of Urban Mood via a Multisensory Interactive System.
Xinni Yang, Keisuke Otaki, Takayoshi Yoshimura, Hiroyuki Sakai, Da Li, Yukiko Kawai
2026Cyberpsychology: Emotion as the Hidden Driver of Social Behavior in Online Networks.
Kristina Lerman
2026DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation.
Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Xuyun Zhang
2026DDIREC: Domain-Disentanglement on Item Representations for Cross-Domain Recommendation.
Pongsakorn Jirachanchaisiri, Saranya Maneeroj, Atsuhiro Takasu
2026DGNet: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network: Enhancing Parallel CTR Prediction Models via Decoupled Gated Network.
Fangye Wang, Xiaoran Yan
2026DSP: A Statistically-Principled Structural Polarization Measure.
Giulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales
2026DagFC: Dependency-Aware Fact-Checking via Claim-Constructed Knowledge Graphs and Large Language Models.
Zhouhui Wu, Zhuohua Yang, Jiaojiao Jiang, Shuiqiao Yang, Nan Sun
2026Debias Once for All: A Data-Centric Strategy for Fair Machine Learning.
Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani
2026Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences.
Bin Chen, Yu Kang, Li Ma, Yue Ding, Xiaofeng Gao
2026Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search.
Pratik Lahiri, Bingqing Ge, Zhou Qin, Aditya Jumde, Shuning Huo, Lucas Scottini, Yi Liu, Mahmoud Mamlouk, Wenyang Liu
2026DiffNBR: Spatio-Temporal Diffusion with Information Bottleneck for Next-Basket Recommendation.
Yichi Zhang, Cheng Zhang, Haifeng Sun, Qi Qi, Lejian Zhang, Jing Wang, Jingyu Wang
2026Diffusion Models for Risk-Aware Portfolio Optimization.
Jihyeong Jeon, Jeongyoung Lee, U Kang
2026Diversification as Risk Minimization.
Rikiya Takehi, Fernando Diaz, Tetsuya Sakai
2026Does Homophily Help in Robust Test-time Node Classification?
Yan Jiang, Ruihong Qiu, Zi Huang
2026Dual Conditional Diffusion for Sequential Recommendation.
Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao
2026Dynamic Metrics to Validate the Use of Machine-Learned Interatomic Potential for Dynamic Sampling.
Bourgeois Biova Irénée Gadjagboui, Md. Sharif Khan, Oliviero Andreussi
2026Efficient Monte Carlo Algorithms for Approximating Katz Centrality on Large Graphs.
Garrett W. Cornett, Minh Phu Vuong, Chul-Ho Lee
2026Efficient Vector-Based Label Propagation for Massive Low-Rank Graphs.
Tengkai Yu, Venkatesh Srinivasan, Alex Thomo
2026Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling.
Hongsheng Dong, Haolong Xiang, Xiaolong Xu, Xuyun Zhang
2026EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation.
Yihang Li, Zhuo Liu, Wei Wei
2026EvioSum: An Evidence-Guided Generation Framework for Faithful and Interpretable Opinion Summarization.
Jian Wang, Yanjie Liang, Yuqing Sun, Bin Gong
2026Explaining the 'Unexplainable' Large Language Models.
Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026Factorized Transport Alignment for Multimodal and Multiview E-commerce Representation Learning.
Xiwen Chen, Yen-Chieh Lien, Susan Liu, María Castaños, Abolfazl Razi, Xiaoting Zhao, Congzhe Su
2026Fairness-aware PageRank via Edge Reweighting.
Honglian Wang, Haoyun Zhou, Aristides Gionis
2026Fast-DataShapley: Neural Modeling for Training Data Valuation.
Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang, Xiang-Yang Li
2026Federated Watermarking of Deep Neural Networks with Distributed Verification.
Sheng-Po Tseng, Lo-Yao Yeh, Hui-Ju Hung, Chih-Ya Shen
2026Foresight Prediction Enhanced Live-Streaming Recommendation.
Jiangxia Cao, Ruochen Yang, Xiang Chen, Changxin Lao, Yueyang Liu, Yusheng Huang, Yuanhao Tian, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Guorui Zhou
2026Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs.
Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Weiqi Wang, An Liu, Dali Kaafar
2026Forget and Explain: Transparent Verification of GNN Unlearning.
Imran Ahsan, Hyunwook Yu, Jinsung Kim, Mucheol Kim
2026From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs.
Jaebeom You, Jaewon Lee, Sehun Lee, Hyuk-Yoon Kwon
2026From Perception to Share: Understanding Misinformation Through User Believability and Linguistic Ambivalence.
Mostofa Najmus Sakib
2026From Personalization to Prejudice: Bias and Discrimination in Memory-Enhanced AI Agents for Recruitment.
Himanshu Gharat, Himanshi Agrawal, Gourab K. Patro
2026G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations.
Li-Yang Chang, Yuan Fang, Ming-Feng Tsai, Chuan-Ju Wang
2026GNN Explainers 2.0: User-centric and Data-driven Insights.
Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi
2026GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and Guidance Optimization.
Ruxue Han, Lianyong Qi, Chao Yan, Weiyi Zhong, Boyuan Yan, Bing Zhao, Xiaoran Zhao, Zhikang Feng, Xiaolong Xu, Haolong Xiang, Xuyun Zhang
2026GenAI4SM: Generative AI for Streaming Media.
Amit Goyal, Vladan Radosavljevic, Sudarshan Lamkhede, Praveen Chandar, Arnab Bhadury, Tao Ye
2026Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation.
Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon
2026HADSF: Aspect Aware Semantic Control for Explainable Recommendation.
Zheng Nie, Peijie Sun
2026Have We Really Understood Collaborative Information? An Empirical Investigation.
Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma
2026HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling.
Thomas Bailie, Yun Sing Koh, Surya Karthik Mukkavilli
2026How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng
2026How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion.
Sooho Moon, Yunyong Ko
2026Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation.
Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li, Hui Li
2026Identifiable Disentangled Representation Learning for Causal Inference under Network Interference.
Di Fan, Chuanhou Gao
2026Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection.
Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2026Image-Guided Debiasing Distillation with Preference Alignment Across Multi-News Histories.
Jimyeung Seo, Eun-Yeong Jo, Hye-Yoon Baek, Dongcheon Lee, Xiongnan Jin, Byungkook Oh
2026Joint Graph Learning for Robust Causal Inference over Knowledge Graphs.
Hao Huang, Maria-Esther Vidal
2026KnowFC: Navigating Knowledge Conflicts in Large Language Model-based Fact-Checking.
Yue Zhang, Shicheng Zhou, Xiaopeng Li, Zhiliang Tian, Yifu Gao, Shiyi Zhang, Wenqing Hou, Yuying Liu, Bin Zhou
2026Knowledge Homophily in Large Language Models.
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2026Knowledge-Graph Structure-Aware Conversational Entity Retrieval.
Mona Zamiri
2026LLM Agent-based Shilling Attack on Recommender Systems.
Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu
2026LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling.
Bo Liu, Hongyan Li, Shenda Hong
2026LLM-Guided Beam Search for Decision Graph Optimization with Dynamic Prompting.
Qihao Huang
2026Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection.
Zhiwei Yang, Haimei Qin, Hao Peng, Xiaoyan Yu, Li Sun, Lei Jiang
2026Large Language Model Judged Self-Training for Named Entity Recognition.
Shisong Chen, Jiaan Wang, Chengyi Yang, Yanghua Xiao, Zhixu Li, Xin Lin
2026Leveraging Retrieval-Augmented Language Models for Accurate Item/Feature Selection in Conversational Recommender Systems.
Taeho Kim, Junpyo Kim, Won-Yong Shin, Sang-Wook Kim
2026LookAhead Tuning: Safer Language Models via Partial Answer Previews.
Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng
2026MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.
Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen
2026MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2026MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding.
Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng
2026MerFT: A Framework for Social Conflict Meme Exploration via Multimodal Retrieval-Augmented Fine-tuning.
Jinkwon Lee, Giseong Kim, Hyeji Yang, Dongyoung Tcha, Hayoung Oh
2026Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations.
Soohwan Jeong, MinGyu Choi, Joon-Young Kim, Susik Yoon, Sungsu Lim
2026Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks.
Devesh Sharma, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra, Jasabanta Patro
2026Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Simulation.
Nuo Chen, Hanpei Fang, Jiqun Liu, Wilson Wei, Tetsuya Sakai, Xiao-Ming Wu
2026Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm.
Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang
2026MolEdit: Knowledge Editing for Multimodal Molecule Language Models.
Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li
2026Multi-Agent System for Adversarial Robustness and Originality Attribution in Short-Form Videos.
Aditya Gautam, Somya Bhargava
2026Multi-Personality Generation of LLMs at Decoding-time.
Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
2026Multi-view Graph Condensation via Tensor Decomposition.
Nícolas Roque dos Santos, Dawon Ahn, Diego Minatel, Alneu de Andrade Lopes, Evangelos E. Papalexakis
2026N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy.
Won-Seok Hwang, Jeong-Han Yun, Byung-gil Min
2026NILC: Discovering New Intents with LLM-assisted Clustering.
Hongtao Wang, Renchi Yang, Wenqing Lin
2026Network Tomography with Path-Centric Graph Neural Network.
Yuntong Hu, Junxiang Wang, Liang Zhao
2026On Causal and Anticausal LLM-based Data Synthesis.
Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu
2026On Listwise Reranking for Corpus Feedback.
Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand, Seung-won Hwang
2026On-Device Large Language Models for Sequential Recommendation.
Xin Xia, Hongzhi Yin, Shane Culpepper
2026OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.
Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou
2026PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning.
Ye Qin, Jingchao Wang, Yang Shi, Haiying Huang, Junxu Li, Weijian Liu, Tinghui Chen, Jinghui Qin
2026ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2026Personalization in the Era of Super(?)-intelligence.
James Caverlee
2026Phishing Detection in Web Domains: new intelligent tool leveraging the effectiveness of emerging Generative models.
Carmine Ambrosino, Maurizio Atzori, Stefano Cirillo, Domenico Desiato, Simona Ettari, Giuseppe Polese, Giandomenico Solimando
2026Planning Before Retrieval: A Constrained Planner-Executor Framework for Reliable and Efficient KG-Augmented Reasoning.
Liangliang Zhang, Yao Ma
2026Pre-training Language Model for Friend Recommendation: A Case Study of Large Social Graph.
Bin Ren, Wei Sun, Shuqi Feng, Yunzhong He, Jun Xiao
2026Precision vs. Discovery: An Adaptive Agent Navigating the Cold-Start Trade-off.
Vedant Thakkar
2026Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression.
Paimon Goulart, Jordan Steinhauser, Kylene Shuler, Edward Korzus, Jia Chen, Evangelos E. Papalexakis
2026Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning.
Kai Zhang, Congchao Wang, Liqian Peng, Alec Go, Xiaozhong Liu
2026Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
2026Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models.
Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
2026Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs.
Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang
2026PushGen: Push Notifications Generation with LLM.
Shifu Bie, Jiangxia Cao, Zixiao Luo, Yichuan Zou, Lei Liang, Lu Zhang, Linxun Chen, Zhaojie Liu, Xuanping Li, Guorui Zhou, Kaiqiao Zhan, Kun Gai
2026REFLEX: Reinforcement Feedback Learning with Large Language Models for E-commerce Query Expansion.
Yipeng Zhang, Bowen Liu, Xiaoshuang Zhang, Aritra Mandal, Canran Xu, Zhe Wu
2026RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems.
Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du
2026RankGraph-Context: Empowering Different Industrial Recommendation System Stages.
Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan
2026RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features.
Jiangfan Zhang, Yinglong Xia, Jiang Li, Chen Yuan, Yonghuan Yang, Jun Xiao, Xiangjun Fan
2026ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction.
Jesús Lovón-Melgarejo, José G. Moreno, Christine Damase-Michel, Lynda Tamine
2026Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance.
Wonhyung Shin, Jong-June Jeon
2026Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).
Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang
2026Risk-Aware Utility Re-Ranking for Financial Asset Recommendation.
Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa
2026Rule Mining and Learning for Structured Knowledge Retrieval.
Yongjia Lei, Mahantesh Halappanavar, Yu Wang
2026SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations.
Abdulla Alshabanah, Yuxin Yang, Murali Annavaram
2026SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection.
Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min
2026SHIELD: A Framework for Online Conversational AI System for Self-Regulated Learning at Emergency Communications Centers.
Ramya Sreekanta Nayaka, Ritesh Somashekar, Kathryn B. Laskey, Linton Wells, Hemant Purohit
2026STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading.
Yilei Zhao, Wentao Zhang, Tingran Yang, Yong Jiang, Fei Huang, Wei Yang Bryan Lim
2026Scholar API: Search and Recommendations for Academic Search.
Kenneth Church, Omar Alonso
2026Self-Paced Fair Ranking with Loss as a Proxy for Bias.
Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri
2026Sequential Data Augmentation for Generative Recommendation.
Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2026Sequential Recommendation with Generative Intent Prediction Utilizing User Search-Behavior.
Guy Elovici, Bracha Shapira, Haggai Roitman, Yotam Eshel
2026Sharpness-aware Federated Graph Learning.
Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu
2026SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation.
Jinkyeong Choi, Yejin Noh, Donghyeon Park
2026SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory.
Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu, Dawei Cheng
2026Spectral Modeling of Periodic Phenomena in Scientific Data via Fourier-Galerkin Representation.
Isabella Li, Zigan Wang
2026Stealing Black-box Hyperdimensional Computing Models Without Data.
Dongning Ma, Ruixuan Wang, Xun Jiao
2026TOOL-CURE: Tool Selection via Curriculum-Enhanced Reinforcement Learning with Sample Screening for LLMs.
Jie Zhang, Dongsheng Bi, Tao Sun, Minghui Yang, Jian Wang, Yiwei Wang
2026TRACE: A Scalable and Extensible Framework for Auditing YouTube's Recommendation Algorithm.
Quentin Dessain, Colin Timmers, Corentin Vande Kerckhove
2026TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval.
Mouly Dewan, Jiqun Liu, Chirag Shah
2026TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu
2026Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding.
Ling Wang, Yan Liu, Jicang Lu, Xiaoyu Guo, Zhipeng Li, Ningbo Huang
2026TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling.
Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Kishlay Jha
2026TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions.
Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt
2026TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction.
Minmao Wang, Rui Zhang, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang
2026The Future of Personalized Universal Assistant.
Ed H. Chi
2026Third Workshop on Generative AI for Recommender Systems and Personalization.
Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2026Time-Aware Adaptive Side Information Fusion for Sequential Recommendation.
Jie Luo, Wenyu Zhang, Xinming Zhang, Yuan Fang
2026TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2026Towards Building an Enterprise World Model.
Khaled Ammar
2026Towards Multifaceted Graph Condensation in Discrete Realm.
Junda Ye, Zhongbao Zhang, Zhizhen He, Feiyang Wang, Li Sun
2026Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs.
Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li
2026Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation.
Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor
2026Uncertainty Quantification for Dynamical Networks.
Zhiqian Chen, Zonghan Zhang
2026Unlearning Inversion Attacks for Graph Neural Networks.
Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2026Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model.
Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2026Unsupervised Dense Retrieval with Conterfactual Contrastive Learning.
Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu
2026Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models.
Taeyoung Yun, Inhyuck Song, Woocheol Shin, Yujin Shin, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
2026Using Brand Knowledge Bases and LLM Agents to Enhance E-commerce Retailers' Catalog Quality.
Hayreddin Çeker, Gang Luo, Kee Kiat Koo, Prashant Mathur, Wencong You, Atharva Amdekar, Rob Barton, Navaneet K. L., Vidit Bansal, Karim Bouyarmane
2026WEB&GRAPH 2026: Workshop on Web & Graphs, Responsible Intelligence, and Social Media.
Matteo Spezialetti, Andrea D'Angelo, Francesca Ciccarelli, Giuseppe Costanzo, Daniele Fossemò, Filippo Mignosi
2026WSDM CUP 2026: Multilingual Retrieval.
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates
2026Waterlogformer: A Multimodal Model for Waterlogging Prediction.
Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang
2026Web-Mined Hypothesis Generation for Financial Markets: An Autonomous Backtesting Framework.
Jing Li, Jinliang Li
2026When Modalities Go Missing: Early Fusion for Multimodal Recommendation.
Lu Chen, Peng Yi, Xiaoyue Hou, Cheng Yang, Xiongcai Cai
2026Workshop on Benchmarking Causal Models (CausalBench).
K. Selcuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth
2026XLingLearn: Balancing Alignment and Robustness for Zero-Shot Cross-Lingual Transfer.
Wenwen Zhao, Li Li