(rfp0362) Graph Retention Networks for Dynamic Graphs — Qian Chang, Xia Li, Xiufeng Cheng, Runsong Jia, Jinqing Yang, Guoping Hu and Ciprian Doru Giurcaneanu
(rfp0698) TAWRMAC: A Novel Dynamic Graph Representation Learning Method — Soheila Farokhi, Xiaojun Qi and Hamid Karimi
(rfp0851) Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts — Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao and Qingtian Zeng
(rfp1264) DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes — Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang and Yankai Chen
(rfp2911) A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures — Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou and Qingtian Zeng
(rfp0383) Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph — Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang and Weigang Lu
大模型相关
(rfp2417) Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts — Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei and Wenwu Zhu
(rfp0068) Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning — Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan and Chuan Shi
(rfp0726) Bridging Semantic Understanding and Popularity Bias with LLMs — Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang and Shuo Yu
持续学习相关
(rfp0905) STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay
(rfp0161) Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation — Qin
Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao and Wenjun Wang
(rfp0296) Exploring Sequential Dynamics on Temporal Graphs via Composite Filtering — Yuanyuan Xu, Danni Wu, Xuemin Lin, Dong Wen, Wenjie Zhang, Lei Chen and Ying Zhang
(rfp1977) STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding — Kyunghwan Lee and Dong-Wan Choi
因果推理
(rfp2555) AC$^2$L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Parham Moradi and Mahdi Jalili
(rfp3763) Causality Guided Representation Learning for Cross-Style Hate Speech Detection
Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan and Huan Liu
(rfp1151) CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning — Jixuan Wu, Limei Lin, Xiaoding Wang, Kunpeng Xu and Jie Wu
(rfp2287) Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis — Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang and Usman Naseem
(rfp2272) CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs — Xiao Yu, Haolong Xiang, Xiaolong Xu, Qi Lianyong, Zhang Xuyun, Fan Wei and Dou Wanchun
(rfp2646) MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang and Chao Wang
(rfp3326) Causality Enhancement for Cross-Domain Recommendation — Zhibo Wu, Yunfan Wu, Yang Chang, Ping Yang and Yao Hu
(rfp3729) FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction — Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu and Juncheng Hu
扩散模型
(rfp2623) Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance — Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang and Yanfang Ye
(rfp0318) Diffusion-based Kriging Model with Graph-enhanced Attention — Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang and Xiaoying Bai
(rfp0409) Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation — Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li and Xianxian Li
(rfp2820) Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features — Pallabee Das and Stefan Heindorf
Conditional Diffusion | Guided Knowledge Transfer for Multi-Domain | Knowledge Graph |
(rfp0153) Multimodal Graph Conditioned Diffusion Model for Video Captioning — Benhui Zhang, Junyu Gao and Yuan Yuan
(rfp1188)
Completion — Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li and Tingwen Liu
(rfp2311) Conditional Information Extraction with Diffusion Model on Fact-Condition Star Graph
Yunxiao Yang, Jianting Chen, Xiaoying Gao, Zaiyuan Di and Yang Xiang
(rfp1085) Multi-task Inference of Diffusion Networks — Ting Gan, Kudereti Kuerban, Qian Yan, Ling Han, Zhigao Zheng and Hao Huang
(rfp2407) Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
Yixuan Huang, Jiawei Chen, Shengfan Zhang and Zane Cao
(rfp3583) CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender Systems — Lingyan Zhang, Wanyu Ling, Shuwen Daizhou, Li Kuang and Kehua Guo
推荐系统
(rfp0208) SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information — Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai and See-Kiong Ng
(rfp0619) Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation
Xian Mo, Yijun Hu and Jun Pang
(rfp0649) DiffGRM: Diffusion-based Generative Recommendation Model — Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang and Guorui Zhou
(rfp0882) Multi-view Semantic Contrastive Alignment for Multimodal Recommendation — Jiuqiang Li and Hongjun Wang
(rfp0957) Adaptive Contrastive Learning in Sequential Recommendation based on Perturbation and Restoration Networks — Yanbo Zhou, Bin Lü, Xu-Hua Yang, Xin-Li Xu and Boling Wang
(rfp1018) HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation — Jingyi Zhou, Cheng Chen, Kai Zuo, Manjie Xu, Zhendong Fu, Yibo Chen, Xu Tang and Yao Hu
(rfp1174) Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation — Sunwoo Kim, Hyunjin Hwang and Kijung Shin
(rfp1179) Bridging Time and Domains: A Time-aware Framework for Cross-Domain Sequential Recommendation — Zemu Liu, Zhida Qin, Pengzhan Zhou, Tianyu Huang and Gangyi Ding
(rfp2914) Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation
Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee and Xiangjie Kong
(rfp1812) WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging — Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li and Si Wei
(rfp3616) SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation — Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang and Irwin King
(rfp1345) From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations — Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang and Yankai Lin
(rfp1404) FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong and Jingrui He
(rfp1461) Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item
Recommendation — Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti and Wanchun Dou
(rfp1471) AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip Yu, Karthik Subbian and Danai Koutra
(rfp1647) MCRec: Few-Shot Multimodal Cover Recommendation via User Interest Profiles — Weixin
Zheng, Chunyao Song and Tingjian Ge
(rfp1782) R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation
Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren and Xin Xin
(rfp2419) TargetMR: Learning Modality Target for Multimodal Recommendation — Gu Tang, Jinghe
Wang, Jiang Bo, Ze Zhao, Jianping Zhou, Xiaoying Gan, Luoyi Fu, Xinbing Wang and Chenghu Zhou
(rfp3118) FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation — Byungmoon Heo, Namjun Lee, Seonah Kim and Jaekwang Kim
(rfp3365) From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism — Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui and Chen Ma
(rfp3398) RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors — Miaomiao Cai, Zhijie Zhang, Junfeng Fang, Zhiyong Cheng, Xiang Wang and Meng Wang
(rfp3533) QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation
Nengjun Zhu, Yixun Lu and Qi Zhang
(rfp4245) TopKGAT: A Top-K Objective-Driven Architecture for Recommendation — Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun and Can Wang
(rfp4340) Token-level Collaborative Alignment for LLM-based Generative Recommendation — Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou and Tong Xu
多专家网络
(rfp1518) Semi-Supervised Fake News Detection with Mixture of Experts — Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma and Jun Shen
(rfp3851) MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering — Lihui Liu, Jiayuan Ding, Subhabrata Mukherjee and Carl Yang
(rfp2571) Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li and Hanghang Tong
(rfp4097) UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region
Profiling — Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou and Irwin King
Knowledge Graphs
(rfp0376) Aligning Multiple Knowledge Graphs in A Single Pass — Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui and Xiaofei He
(rfp0524) Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model — Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun and Yangqiu Song
(rfp0711) DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion — Yuchao Zhang, Xiangjie Kong, Kailun Ye, Shangfei Zheng and Guojiang Shen
(rfp0857) Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs — Yanlin Song, Ben Liu, Víctor Gutiérrez-Basulto, Zhiwei Hu, Qianqian Xie, Min Peng, Sophia Ananiadou and Jeff Z. Pan
(rfp0955) Multi-Granularity Multi-Modal Knowledge Graph Representation Learning via Subgraph-Aware Adaptive Fusion and Hierarchical Relation Modeling — Peining Li, Meiyu Liang, Wei Huang, Junping Du, Zhe Xue, Guanhua Ye, Wu Liu and Lei Shi
(rfp1508) Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning — Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen and Jianxin Li
(rfp3199) MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning — Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu and Wenjie Zhang
(rfp4002) Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding — Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao and Tashi Nyima
(rfp3841) VL-KGE: Vision–Language Models Meet Knowledge Graph Embeddings — Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg and Marcel Worring
其他技术
(rfp2805) Hi-GMAE: Hierarchical Graph Masked Autoencoders — Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu and Wenbin Hu
(rfp3687) Towards A Universal Graph Structural Encoder — Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li and Rex Ying
(rfp3335) Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks — Sahar Tahmasebi, Eric Müller-Budack and Ralph Ewerth
(rfp1157) Traceable Latent Variable Discovery Based on Multi-Agent Collaboration — Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou and Carl Yang
(rfp1127) Social Event Prediction via Fourier Graph Learning — Mingjie Qiu, Zhiyi Tan and Bing-Kun Bao
知识蒸馏
(rfp1900) MARCH: Multi-Teacher Contrastive Hypergraph Distillation — Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti and Guanfeng Liu
残差量化
(rfp2246) ReaLM: Residual Quantization Bridges Knowledge Graph Embeddings and Large Language Models — Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li and Zirui Chen
多模态大模型
(rfp2908) Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs — Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu and Yueting Zhuang