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 Policy Learning
Yuntong Hu, Junxiang Wang and Liang Zhao. Network Tomography with Path-Centric Graph Neural Network
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
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
Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu and Dawei Cheng. SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory
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
Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian McAuley and Lina Yao. Dual Conditional Diffusion Models for Sequential Recommendation
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
Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong and Jundong Li. MolEdit: Knowledge Editing for Multimodal Molecule Language Models
Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu and Suhang Wang. Unlearning Inversion Attacks for Graph Neural Networks
Sheng-Po Tseng, Lo-Yao Yeh, Hui-Ju Hung and Chih-Ya Shen. Federated Watermarking of Deep Neural Networks with Distributed Verification
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
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang and Qi Liu. TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
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
Shijie Luo, Xinyuan Lu, Qinpei Zhao and Weixiong Rao. Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models
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
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
Haifeng Sun, Yu Xiong, Runze Wu, Xinyu Cai, Changjie Fan, Lan Zhang and Xiang-Yang Li. Fast-DataShapley: Neural Modeling for Training Data Valuation
Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand and Adam Jatowt. TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
Hwanjun Song, Jeonghwan Choi and Minseok Kim. Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
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
Lei Xia, Yuyan Chen, Xiangqin Chen, Jixiang Fan, Yan Zan, Xiaomei Li and Zhixu Li. Constructing Commonsense Knowledge Graph for Persona Consistency
Giulia Preti, Matteo Riondato, Aristides Gionis and Gianmarco De Francisci Morales. DSP: A Statistically-Principled Structural Polarization Measure
Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li and Hui Li. Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation
Wenwen Zhao and Li Li. XLingLearn: Balancing Alignment and Robustness for Zero-Shot Cross-Lingual Transfer
Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu and Huawei Shen. Multi-Personality Generation of LLMs at Decoding-time
Xiangming Li, Hua Chu, Chengyu Feng, Jianan Li, Yangtao Zhou, Qingshan Li and Wanqiang Yang. A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation
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
Yan Jiang, Ruihong Qiu and Zi Huang. Does Homophily Help in Robust Test-time Node Classification?
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
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
Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti and Xuyun Zhang. DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation
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
Wonhyung Shin and Jong-June Jeon. Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance
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
Jihyeong Jeon, Jeongyoung Lee and U Kang. Diffusion Models for Risk-Aware Portfolio Optimization
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
Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti and Guanfeng Liu. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
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
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
Thomas Bailie, Yun Sing Koh and S. Karthik Mukkavilli. HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling
Xin Xia, Hongzhi Yin and Shane Culpepper. On-Device Large Language Models for Sequential Recommendation
Jian Wang, Yanjie Liang, Yuqing Sun and Gong Bin. EvioSum: An Evidence-Guided Generation Framework for Faithful and Interpretable Opinion Summarization
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
Chenhan Zhang, Benjamin Zhao, Hassan Asghar, Weiqi Wang, An Liu and Dali Kaafar. Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs
Junda Ye, Zhongbao Zhang, Zhizhen He, Feiyang Wang and Li Sun. Towards Multifaceted Graph Condensation in Discrete Realm
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
Di Fan and Chuanhou Gao. Identifiable Disentangled Representation Learning for Causal Inference under Network Interference
Nícolas Roque dos Santos, Dawon Ahn, Diego Minatel, Alneu de Andrade Lopes and Evangelos Papalexakis. Multi-view Graph Condensation via Tensor Decomposition
Jesus Lovon-Melgarejo, Jose G Moreno, Christine Damase-Michel and Lynda Tamine. ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction
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 based Large User Model
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
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
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 Guidance Optimization
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
Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui and Chen Ma. Have We Really Understood Collaborative Information? An Empirical Investigation
Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang and Geyong Min. SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, Seongku Kang and Hwanjo Yu. Capturing User Interests from Data Streams for Continual Sequential Recommendation
Jinkyeong Choi, Yejin Noh and Donghyeon Park. SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation
Hongsheng Dong, Haolong Xiang, Xiaolong Xu and Xuyun Zhang. Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling
Hongtao Wang, Renchi Yang and Wenqing Lin. NILC: Discovering New Intents with LLM-assisted Clustering
Hao Huang and Maria-Esther Vidal. Joint Graph Learning for Robust Causal Inference over Knowledge Graphs
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
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
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
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
Rikiya Takehi, Fernando Diaz and Tetsuya Sakai. Diversification as Risk Minimization
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
Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan and Qing Li. Continuous-time Discrete-space Diffusion Model for Recommendation
Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo and Xueqi Cheng. How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao and Zhiqiang Xu. Sharpness-aware Federated Graph Learning
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
Honglian Wang, Haoyun Zhou and Aristides Gionis. Fairness-aware PageRank via Edge Reweighting
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
Zhuo Liu, Yihang Li and Wei Wei. EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation
Bo Liu, Hongyan Li and Shenda Hong. LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong and Jun Xu. Counteracting the Delayed Conversions in OCPC with Survival Analysis
Ruohan Zong, Yang Zhang, Zhenrui Yue and Dong Wang. Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human–LLM Mixed Generation Paradigm
Wei Li, Jiaxing Xu, Xia Dong and Yiping Ke. Bridge Breaking for Graph Neural Networks
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
Sethupathy Parameswarn, Suresh Sundaram and Yuan Fang. Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah and Liam Collins. Sequential Data Augmentation for Generative Recommendation
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
Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews and Kishlay Jha. TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling
Qihao Huang. LLM-Guided Beam Search for Decision Graph Optimization with Dynamic Prompting
Abdulla Alshabanah, Yuxin Yang and Murali Annavaram. SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations
Yibo Zhou, Xiaolong Xu, Haolong Xiang, Xuyun Zhang and Siyu Wu. Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM
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
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
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 Thinking
Shisong Chen, Jiaan Wang, Chengyi Yang, Yanghua Xiao, Zhixu Li and Xin Lin. Large Language Model Judged Self-Training for Named Entity Recognition
Yezi Liu, Hanning Chen, Yanning Shen and Mohsen Imani. Debias Once for All: A Data-Centric Strategy for Fair Machine Learning
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
Jie Luo, Wenyu Zhang, Xinming Zhang and Yuan Fang. Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
Zheng Nie and Peijie Sun. Hyper-Adaptive Dual-Stage Prompting for Hallucination-Aware Explainable Recommendation
Wenhao Zhu, Haonan Dong, Guojie Song and Zhu Zhengzhou. Addressing Aggregation-Induced Information Loss in Graph Neural Networks
Haitian Chen, Qingyao Ai, Xiao Wang, Yujia Zhou, Yiqun Liu, Fen Lin and Qin Liu. Unsupervised dense retrieval with conterfactual contrastive learning
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