Papers
Reimagining Anomalies: What If Anomalies Were Normal?
Philipp Liznerski, Saurabh Varshneya, Ece Calikus et al.
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu, Yin Hua, Mingyang Chen et al.
Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection
Zhaowei Liu, Leilei Jiang, Haitao Yang
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
Yuwen Liu, Lianyong Qi, Xingyuan Mao et al.
S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
Yuchen Liu, Kunyu Ni, Zhongying Zhao et al.
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
Yu Liu, Xixun Lin, Yanmin Shang et al.
SEFEL: A Simple Yet Effective Framework for Fast Event Linking
Yinan Liu, Ziyang Zhang, Bin Wang et al.
MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model
Ye Liu, Yang Chen, Hongmin Cai
A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds
Ya Liu, Junbin Liu, Wing-Kin Ma et al.
Hierarchical Attention Network with Correction for Cross-Domain User Association
Wenlong Liu, Ze Wang, Chenlong Wu et al.
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation
Junping Liu, Mingchao Yu, Xinrong Hu et al.
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering
Jilong Liu, Pengyang Shao, Wei Qin et al.
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender
Jialin Liu, Zhaorui Zhang, Ray C.C. Cheung
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution
Hua Liu, Yanbin Wei, Fei Xing et al.
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
Hongyang Liu, Zhu Sun, Tianjun Wei et al.
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
Emily Liu, Kuan Han, Minfeng Zhan et al.
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
Run Ling, Wenji Wang, Yuting Liu et al.
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
Yuxi Lin, Yongkang Li, Jie Xing et al.
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
Yingde Lin, Yuanbo Xu, Lu Jiang et al.
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
Mingkai Lin, Yinke Wang, Xiaobin Hong et al.
Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs
Chenxiao Lin, Ye Luo, KunHong Liu et al.
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
Jingyi Liao, Yongyi Su, Rong-Cheng Tu et al.
Sign-Aware Multimodal Graph Recommendation
Yahong Lian, Haotian Tian, Chunyao Song et al.
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
Jie Lian, Zhihao Wu, Jielong Lu et al.