Papers
MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation
Tuo Wang, Meng Jian, Ge Shi et al.
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
Shu Wang, Yixiang Fang, Yingli Zhou et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
Luzhi Wang, Xuanshuo Fu, He Zhang et al.
Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction
Junsheng Wang, Tiantian Gong, Yeyun Wu et al.
Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation
Jingyuan Wang, Zhichun Wang, Tong Lu et al.
TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models
Hengyi Wang, Weiying Xie, Hui Jiang et al.
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
Di Wang, Junping Du, Zhe Xue et al.
TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion
Zexuan Wan, Bo Wang, Kuofei Fang et al.
OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams
Nicolas Rojas Varela, Julien Ah-Pine, Engelbert Mephu Nguifo
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
Xiaofan Tu, Tiantian Duan, Shuyi Miao et al.
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao, Xinke Jiang, Qingshuai Feng et al.
Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
Hao Tang, Yu Liu, Shuanglin Yan et al.
Generalising Traffic Forecasting to Regions Without Traffic Observations
Xinyu Su, Majid Sarvi, Feng Liu et al.
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma et al.
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
Tianrui Song, Wen-Shuo Chao, Hao Liu
AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer
Yulim So, Seokho Kang
SEQRET: Mining Rule Sets from Event Sequences
Aleena Siji, Joscha Cüppers, Osman Mian et al.
SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
Junhua Shi, Qingyun Sun, Haonan Yuan et al.
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
Jiawei Sheng, Taoyu Su, Weiyi Yang et al.
ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution
Anil Sharma, Gunturi Venkata Sai Phani Kiran, Jayesh Rajkumar Vachhani et al.
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
Minlan Shao, Zijian Zhang, Yili Wang et al.
Bidirectional Counterfactual Distillation for Review-Based Recommendation
Sheng Sang, Shujie Li, Shuaiyang Li et al.
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
Yongwen Ren, Chao Wang, Peng Du et al.
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
Fengli Ran, Xiao Pu, Bo Liu et al.