Table of Contents

• Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational DataBinbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang 0012, Jun Zhou 0011, Yufei Feng, Jiawei Chen 0007. 1-9 [doi]
• CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encodersJongwon Park, Heesoo Jung, Hogun Park. 10-19 [doi]
• A Sublinear Algorithm for Approximate Shortest Paths in Large NetworksSabyasachi Basu, Nadia Koshima, Talya Eden, Omri Ben-Eliezer, C. Seshadhri 0001. 20-29 [doi]
• Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color AssortativityGiulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales. 30-39 [doi]
• DiffGraph: Heterogeneous Graph Diffusion ModelZongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang 0001. 40-49 [doi]
• Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane PerturbationYoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-kwon Kim. 50-59 [doi]
• Dynamic Graph Transformer with Correlated Spatial-Temporal Positional EncodingZhe Wang 0001, Sheng Zhou 0004, Jiawei Chen 0007, Zhen Zhang 0023, Binbin Hu, Yan Feng, Chun Chen 0001, Can Wang 0001. 60-69 [doi]
• S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral DomainRui Xia, Yanhua Cheng, Yongxiang Tang, Xiaocheng Liu, Xialong Liu, Lisong Wang, Peng Jiang. 70-78 [doi]
• k-MinHash Signatures over Fully-Dynamic Data Streams with RecoveryAndrea Clementi, Luciano Gualà, Luca Pepè Sciarria, Alessandro Straziota. 79-87 [doi]
• Hyperdimensional Representation Learning for Node Classification and Link PredictionAbhishek Dalvi, Vasant G. Honavar. 88-97 [doi]
• Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly DetectionJiazhen Chen, Mingbin Feng, Tony S. Wirjanto. 98-106 [doi]
• Large Language Model driven Policy Exploration for Recommender SystemsJie Wang 0072, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose. 107-116 [doi]
• A Contrastive Framework with User, Item and Review Alignment for RecommendationHoang V. Dong, Yuan Fang 0001, Hady W. Lauw. 117-126 [doi]
• Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential RecommendationMingrui Liu, Sixiao Zhang, Cheng Long 0001. 127-135 [doi]
• MixRec: Heterogeneous Graph Collaborative FilteringLianghao Xia, Meiyan Xie, Yong Xu 0007, Chao Huang 0001. 136-145 [doi]
• Review-Based Hyperbolic Cross-Domain RecommendationYoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-kwon Kim. 146-155 [doi]
• VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User MemoryNhu-Thuat Tran, Hady W. Lauw. 156-164 [doi]
• The Initial Screening Order ProblemJosé M. Álvarez 0002, Antonio Mastropietro, Salvatore Ruggieri. 165-174 [doi]
• Cross-Domain Pre-training with Language Models for Transferable Time Series RepresentationsMingyue Cheng, Xiaoyu Tao 0001, Qi Liu 0003, Hao Zhang 0088, Yiheng Chen, Defu Lian. 175-183 [doi]
• Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation TextsSoojin Yoon, SungHo Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee 0003. 184-193 [doi]
• Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion InformationTianyi Chen, Atsushi Miyauchi 0001, Charalampos E. Tsourakakis. 194-203 [doi]
• Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task LearningShiJie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang 0002, Hongbo Deng, Jian Xu 0015, Bo Zheng 0007. 204-212 [doi]
• Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level ClassificationMalik Khizar Hayat, Shan Xue 0001, Jia Wu 0001, Bilal Khan, Jian Yang 0001. 213-221 [doi]
• Combating Heterogeneous Model Biases in Recommendations via BoostingJinhao Pan, James Caverlee, Ziwei Zhu 0001. 222-231 [doi]
• LOGIN: A Large Language Model Consulted Graph Neural Network Training FrameworkYiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He. 232-241 [doi]
• MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language ModelsHao Yan 0004, Chaozhuo Li 0001, Jun Yin, Weihao Han, Hao Sun 0015, Senzhang Wang, Jian Zhang 0048, Jianxin Wang 0001. 242-250 [doi]
• Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge DistillationYijun Tian 0001, Yikun Han, Xiusi Chen, Wei Wang 0010, Nitesh V. Chawla. 251-260 [doi]
• Large Language Model Simulator for Cold-Start RecommendationFeiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen 0062, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu. 261-270 [doi]
• Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented GenerationChenyuan Wu, Ninglu Shao, Zheng Liu 0011, Shitao Xiao, Chaozhuo Li 0001, Chen Zhang 0013, Senzhang Wang, Defu Lian. 271-280 [doi]
• Robustness Verification of Deep Graph Neural Networks Tightened by Linear ApproximationXingyu Zeng, Han Li, Qi Qi 0001, Jingyu Wang, Haodong Deng, Haifeng Sun 0001, Zirui Zhuang, Jianxin Liao. 281-289 [doi]
• Dynamic Interaction-Driven Intent Evolver with Semantic Probability DistributionsZelin Li 0001, Cheng Zhang, Dawei Song. 290-299 [doi]
• DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential RecommendationNijia Mo, Jianxiang Zang, Zhan Wang, Hui Liu. 300-308 [doi]
• Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical StudyMohammad Shirzadi, Ahad N. Zehmakan. 309-317 [doi]
• HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation LearningQiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang. 318-326 [doi]
• Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated RecommendationSiqing Zhang, Yuchen Ding, Wei Tang 0015, Wei Sun, Yong Liao, Peng Yuan Zhou. 327-335 [doi]
• Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval SystemsHongliu Cao. 336-344 [doi]
• Sequential Diversification with Provable GuaranteesHonglian Wang, Sijing Tu, Aristides Gionis. 345-353 [doi]
• Temporal Linear Item-Item Model for Sequential RecommendationSeongmin Park, Mincheol Yoon, Minjin Choi 0001, Jongwuk Lee. 354-362 [doi]
• Oracle-guided Dynamic User Preference Modeling for Sequential RecommendationJiafeng Xia, Dongsheng Li 0002, Hansu Gu, Tun Lu, Peng Zhang 0060, Li Shang, Ning Gu. 363-372 [doi]
• Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future InformationZihan Qiu, Xiaoling Zhou, Chunyan An, Qiang Yang 0015, Zhixu Li. 373-381 [doi]
• BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document ModellingUbaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel. 382-391 [doi]
• Edge Classification on Graphs: New Directions in Topological ImbalanceXueqi Cheng, Yu Wang 0160, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr. 392-400 [doi]
• Hawkes Point Process-enhanced Dynamic Graph Neural NetworkZhiqiang Wang 0005, Baijing Hu, Kaixuan Yao, Jiye Liang. 401-409 [doi]
• Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random WalksJunliang Luo, Xue Liu. 410-418 [doi]
• SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for RecommendationChaejeong Lee, Jeongwhan Choi 0002, Hyowon Wi, Sung-Bae Cho, Noseong Park. 419-428 [doi]
• Towards Personalized Federated Multi-Scenario Multi-Task RecommendationYue Ding 0001, Yanbiao Ji, Xun Cai, Xin Xin 0003, Yuxiang Lu, Suizhi Huang, Chang Liu 0078, Xiaofeng Gao 0001, Tsuyoshi Murata, Hongtao Lu. 429-438 [doi]
• ESA: Example Sieve Approach for Multi-Positive and Unlabeled LearningZhongnian Li, Meng Wei 0006, Peng Ying, Xinzheng Xu. 439-447 [doi]
• FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph LearningPengyang Zhou, Chaochao Chen 0001, Weiming Liu 0005, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang 0020. 448-456 [doi]
• Graph Size-imbalanced Learning with Energy-guided Structural SmoothingJiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji 0001, Xingcheng Fu, Jianxin Li 0002. 457-465 [doi]
• Inductive Graph Few-shot Class Incremental LearningYayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz. 466-474 [doi]
• RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search PlanZiming Li 0004, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang. 475-483 [doi]
• Incomplete Multi-view Clustering via Local Reasoning and Correlation AnalysisXiaocui Li, Guoliang Li, Xinyu Zhang 0012, Yangtao Wang, Qingyu Shi, Wei Liang. 484-492 [doi]
• Context Embeddings for Efficient Answer Generation in Retrieval-Augmented GenerationDavid Rau, Shuai Wang 0004, Hervé Déjean, Stéphane Clinchant, Jaap Kamps. 493-502 [doi]
• An Aspect Performance-aware Hypergraph Neural Network for Review-based RecommendationJunrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang. 503-511 [doi]
• Balancing Revenue and Privacy with Signaling Schemes in Online Ad AuctionsHongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen. 512-520 [doi]
• DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior RecommendationShuai Zhang, Hua Chu, Jianan Li 0003, Yangtao Zhou, Shirong Wang, Qiaofei Sun. 521-529 [doi]
• Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online AdvertisingZheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang 0024. 530-538 [doi]
• Mining Topics towards ChatGPT Using a Disentangled Contextualized-neural Topic ModelRui Wang, Xing Liu, Yanan Wang, Shuyu Chang, Yuanzhi Yao, Haiping Huang. 539-548 [doi]
• LightGNN: Simple Graph Neural Network for RecommendationGuoxuan Chen, Lianghao Xia, Chao Huang 0001. 549-558 [doi]
• Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement EarlinessJunghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park 0001. 559-567 [doi]
• 2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion PredictionHaowei Xu, Chao Gao, Xianghua Li, Zhen Wang 0004. 568-576 [doi]
• Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data SourcesLulu Wang, Chengqing Li. 577-585 [doi]
• GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News DetectionLingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel. 586-595 [doi]
• Enhancing Code Search Intent with Programming Context ExplorationYanmin Dong, Zhenya Huang, Zheng Zhang 0048, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu 0003. 596-605 [doi]
• AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference DistributionsFanqi Meng, Zhiyuan Zhang. 606-615 [doi]
• HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionAnran Zhang, Xingfen Wang, Yuhan Zhao 0001. 616-624 [doi]
• IMPO: Interpretable Memory-based Prototypical PoolingAlessio Ragno, Roberto Capobianco. 625-632 [doi]
• Personalised Outfit Recommendation via History-aware TransformersMyong Chol Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych. 633-641 [doi]
• DTPN: A Diffusion-based Traffic Purification Network for Tor Website FingerprintingChenchen Yang, Xi Xiao, Guangwu Hu, Zhen Ling, Hao Li, Bin Zhang 0048. 642-650 [doi]
• Density-aware and Cluster-based Federated Anomaly Detection on Data StreamsBin Li, Li Cheng, Zheng Qin, Yunlong Wu. 651-658 [doi]
• How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral PerspectiveSiyi Lin, Chongming Gao, Jiawei Chen 0007, Sheng Zhou 0004, Binbin Hu, Yan Feng, Chun Chen 0001, Can Wang 0001. 659-668 [doi]
• Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential RecommendationYidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan 0004, Xu Zhang, Zhumin Chen, Jun Ma 0001, Xin Xin 0003. 669-677 [doi]
• Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on GraphsYilong Wang 0001, Tianxiang Zhao, Zongyu Wu, Suhang Wang. 678-687 [doi]
• Your Causal Self-Attentive Recommender Hosts a Lonely NeighborhoodYueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang 0002. 688-696 [doi]
• Training MLPs on Graphs without SupervisionZehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye 0001. 697-706 [doi]
• Explainable CTR Prediction via LLM ReasoningXiaohan Yu, Li Zhang 0131, Chong Chen 0001. 707-716 [doi]
• Adaptive Graph Enhancement for Imbalanced Multi-relation Graph LearningYiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye 0001. 717-725 [doi]
• DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion ModelsWuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng 0001, Qi Liu 0003, Na Mou, Guorui Zhou, Defu Lian, Yang Song 0008, Wentian Bao, Enyun Yu, Wenwu Ou. 726-734 [doi]
• An Edge-Based Decomposition Framework for Temporal NetworksLutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano. 735-743 [doi]
• Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsKexin Zhang 0007, Fuyuan Lyu, Xing Tang 0007, Dugang Liu, Chen Ma 0001, Kaize Ding, Xiuqiang He 0001, Xue Liu 0001. 744-753 [doi]
• Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge ExtractionQinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi. 754-763 [doi]
• MedTransTab: Advancing Medical Cross-Table Tabular Data GenerationYuyan Chen, Qingpei Guo, Shuangjie You, Zhixu Li. 764-772 [doi]
• Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal RecommendationRongqing Kenneth Ong, Andy W. H. Khong. 773-781 [doi]
• Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided CalibrationHongji Li, Hanwen Du, Youhua Li, Junchen Fu, Chunxiao Li, Ziyi Zhuang, Jiakang Li, Yongxin Ni. 782-791 [doi]
• InstrucTime: Advancing Time Series Classification with Multimodal Language ModelingMingyue Cheng, Yiheng Chen, Qi Liu 0003, Zhiding Liu, Yucong Luo, Enhong Chen. 792-800 [doi]
• Improving FIM Code Completions via Context & Curriculum Based LearningHitesh Sagtani, Rishabh Mehrotra, Beyang Liu. 801-810 [doi]
• Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of UsersJongjin Kim 0001, U Kang. 811-819 [doi]
• Untapping the Power of Indirect Relationships in Entity SummarizationAtefeh Moradan, Mohammad Sorkhpar, Atsushi Miyauchi 0001, Davide Mottin, Ira Assent. 820-828 [doi]
• Heterophilic Graph Neural Networks Optimization with Causal Message-passingBotao Wang, Jia Li 0009, Heng Chang, Keli Zhang, Fugee Tsung. 829-837 [doi]
• HaGAR: Hardness-aware Generative Adversarial RecommenderYuan-Heng Lee, Josh Jia-Ching Ying, Vincent S. Tseng. 838-846 [doi]
• UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR PredictionXu Yang, GuangYuan Yu, Jun He. 847-856 [doi]
• DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender SystemsJiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu 0006, Qingpeng Cai 0001, Peng Jiang 0002. 857-865 [doi]
• Reindex-Then-Adapt: Improving Large Language Models for Conversational RecommendationZhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley. 866-875 [doi]
• Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior SequencesXuanzhou Liu, Zhibo Xiao, Luwei Yang, Hansheng Xue, Jianxing Ma, Yujiu Yang. 876-884 [doi]
• Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction RecordsMaryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee 0001. 885-894 [doi]
• Improving Scientific Document Retrieval with Concept Coverage-based Query Set GenerationSeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang 0044, Dongha Lee 0003, Jiawei Han 0001, Hwanjo Yu. 895-904 [doi]
• Demystify Epidemic Containment in Directed Networks: Theory and AlgorithmsYinhan He, Chen Chen 0022, Song Wang, Guanghui Min, Jundong Li. 905-913 [doi]
• Adaptive Loss-based Curricula for Neural Team RecommendationReza Barzegar, Marco Nikola Kurepa, Hossein Fani 0001. 914-923 [doi]
• How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen QueriesMaryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah 0001, Afra Mashhadi. 924-933 [doi]
• RetriEVAL: Evaluating Text Generation with Contextualized Lexical MatchZhen Li 0048, Xinchi Li, Chongyang Tao, Jiazhan Feng, Tao Shen 0001, Can Xu, Hao Wang, Dongyan Zhao 0001, Shuai Ma 0001. 934-943 [doi]
• MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM RankersFang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu 0008, Yue Zhang. 944-953 [doi]
• Quam: Adaptive Retrieval through Query Affinity ModellingMandeep Rathee, Sean MacAvaney, Avishek Anand. 954-962 [doi]
• ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion ControlYin Gu, Kai Zhang 0038, Qi Liu 0003, Runlong Yu, Xin Lin 0005, Xinjie Sun. 963-972 [doi]
• UniGLM: Training One Unified Language Model for Text-Attributed Graphs EmbeddingYi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan. 973-981 [doi]
• HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity AlignmentJiayun Li, Wen-hua, Fengmei Jin, Xue Li. 982-990 [doi]
• Query Performance Prediction: Theory, Techniques and ApplicationsNegar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri. 991-994 [doi]
• Advances in Vector SearchSebastian Bruch. 995-997 [doi]
• Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM EraSunhao Dai, Chen Xu 0010, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu 0001. 998-1001 [doi]
• Tutorial on Recommendation with Generative Models (Gen-RecSys)Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano. 1002-1004 [doi]
• Exploring the Explainability of Time Series Clustering: A Review of Methods and PracticesZheng Huang, Hao Hao, Lun Du. 1005-1007 [doi]
• Robust Information RetrievalYu-An Liu, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke. 1008-1011 [doi]
• Building Trustworthy AI Models for Medicine: From Theory to ApplicationsSoumyadeep Roy, Sowmya S. Sundaram, Dominik Wolff, Niloy Ganguly. 1012-1015 [doi]
• Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team RecommendationMahdis Saeedi, Christine Wong, Hossein Fani 0001. 1016-1019 [doi]
• Towards Secure and Robust Recommender Systems: A Data-Centric PerspectiveZongwei Wang 0002, Junliang Yu, Tong Chen 0005, Hongzhi Yin, Shazia Sadiq, Min Gao 0001. 1020-1023 [doi]
• SAGESSE: A System for Argument Generation, Extraction and Structuring of Social ExchangesNicolas Almerge, Matteo Santelmo, Ilker Gül, Amin Asadi Sarijalou, Rémi Lebret, Léo Laugier, Karl Aberer. 1024-1027 [doi]
• CRS Arena: Crowdsourced Benchmarking of Conversational Recommender SystemsNolwenn Bernard, Hideaki Joko, Faegheh Hasibi, Krisztian Balog. 1028-1031 [doi]
• A Shopping Agent for Addressing Subjective Product NeedsPreetam Prabhu Srikar Dammu, Omar Alonso, Barbara Poblete. 1032-1035 [doi]
• Cluster Insight: A Weighted Clustering Tool for Large Textual Data ExplorationAmine Ferdjaoui, Séverine Affeldt, Mohamed Nadif. 1036-1039 [doi]
• Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG SystemsRishiraj Saha Roy, Joel Schlotthauer, Chris Hinze, Andreas Foltyn, Luzian Hahn, Fabian Küch. 1040-1043 [doi]
• Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data ManagementAhmad Sakor, Mauricio Brunet, Enrique Iglesias, Ariam Rivas, Philipp D. Rohde, Angelina Kraft, Maria-Esther Vidal. 1044-1047 [doi]
• Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information RetrievalFerdinand Schlatt, Maik Fröbe, Matthias Hagen. 1048-1051 [doi]
• Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's ArchivesAnna Sokol, Matthew L. Sisk, Josefina Echavarría Alvarez, Nitesh V. Chawla. 1052-1055 [doi]
• Don't Forget This: Augmenting Results with Event-Aware SearchHugo Sousa, Austin R. Ward, Omar Alonso. 1056-1059 [doi]
• LiveFC: A System for Live Fact-Checking of Audio StreamsVenktesh V, Vinay Setty. 1060-1063 [doi]
• WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and InsightsXiangqi Wang, Tianyu Yang, Jason Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang 0001. 1064-1067 [doi]
• Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and HumansMaryam Amirizaniani. 1068-1070 [doi]
• Edge-Centric Network AnalyticsXueqi Cheng. 1071-1073 [doi]
• Towards Ethical and Personalized Web Navigation Agents: A Framework for User-Aligned Task ExecutionPreetam Prabhu Srikar Dammu. 1074-1076 [doi]
• The Generalization and Error Detection in LLM-based Text-to-SQL SystemsOleg Somov. 1077-1079 [doi]
• Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMsJanice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe. 1080-1083 [doi]
• Advancing Voice AI for E-commerce: Tracking ASR Model Performance at ScaleDhruv Agarwal 0007, Nupur Neti, Federica Cerina. 1084-1085 [doi]
• Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit InventoryGuilherme G. Bonaldo, Pedro F. Nogueira, Tetiana Torovets, Thays F. da Silva. 1086-1087 [doi]
• Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary FeatureMatthias Braunhofer, Grzegorz Kukla, Abhishek Arun. 1088-1089 [doi]
• Efficient Creative Selection in Online Advertising using Top-Two Thompson SamplingDaiki Katsuragawa, Yusuke Kaneko, Kaito Ariu, Kenshi Abe. 1090-1091 [doi]
• Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddingsEnming Luo, Wei Qiao, Katie Warren, Jingxiang Li, Eric Xiao, Krishna Viswanathan, Yuan Wang, Yintao Liu, Jimin Li, Ariel Fuxman. 1092-1093 [doi]
• Navigating the Hype and Embracing the Hope: The Future of Generative AI in Retail Product DiscoveryDarshan Nagaraja. 1094-1095 [doi]
• Personalization At Doordash: From Conversion Modeling To Multi-objective Long-term Value OptimizationQilin Qi. 1096-1097 [doi]
• SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMsEti Rastogi, Sagar Goyal, Fen Zhao, Dong Yuan 0002. 1098-1099 [doi]
• Fact-checking Multilingual PodcastsVinay Setty. 1100-1101 [doi]
• Using Photon-Counting CT Images for Lung Nodule ClassificationLeonie Basso, Zahra Ahmadi, Steffen Oeltze-Jafra, Eike Petersen, Hoen-oh Shin, Andrea Schenk. 1102-1103 [doi]
• HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain KnowledgeHao Huang, Maria-Esther Vidal. 1104-1105 [doi]
• Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and RecommendationsPallavi Karanth. 1106-1107 [doi]
• Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGsDisha Purohit, Yashrajsinh Chudasama, Maria-Esther Vidal. 1108-1109 [doi]
• BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge CaptureAhmad Sakor, Kuldeep Singh 0001, Maria-Esther Vidal. 1110-1111 [doi]
• A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification TaskNicolas Steiner, Ziteng Li, Omid Vosoughi, Johanna Schrader, Soumyadeep Roy, Wolfgang Nejdl, Ming Tang. 1112-1113 [doi]
• 1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media ProductionGiovanni Fulantelli, Davide Taibi 0002, Sergio Splendore, Marco Fisichella. 1114-1115 [doi]
• IWILDS'25: The 5th International Workshop on Investigating Learning During Web SearchAnett Hoppe, Ran Yu 0001, Jiqun Liu, Nilavra Bhattacharya. 1116-1117 [doi]
• Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025Xinghai Hu, Robin Burke, Xu Liu. 1118-1119 [doi]
• LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information RetrievalHossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra 0001, Paul Thomas 0001, Emine Yilmaz. 1120-1121 [doi]
• Disinformation and Misinformation in the Age of Generative AIKoustav Rudra, Niloy Ganguly, Jeanne Mifsud Bonnici, Eric Müller-Budack, Ritumbra Manuvie. 1122-1123 [doi]