Papers
Continual Out-of-Distribution Detection with Analytic Neural Collapse
Saleh Momeni, Changnan Xiao, Bing Liu
ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval
Fengran Mo, Jinghan Zhang, Yuchen Hui et al.
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
Ritwick Mishra, Abhijin Adiga, Madhav Marathe et al.
ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation
Yue Min, Shaobo Wang, Jiaze Li et al.
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
Xiaowei Mao, Huihu Ding, Yan Lin et al.
Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
Shengjun Ma, Yuhai Zhao, Fenglong Ma et al.
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
Jingtian Ma, Jingyuan Wang, Leong Hou U
SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems
Jianghong Ma, Changran He, Dezhao Yang et al.
LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce
Wenjun Lyu, Fangyu Li, Yudong Zhang et al.
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
Jiayi Luo, Qingyun Sun, Yuecen Wei et al.
Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob
Yun Lu, Xiaoyu Shi, Hong Xie et al.
SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio
Tong Lu, Zhichun Wang, Yaoyu Zhou et al.
MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection
Ruiying Lu, Gang Liu, Kang Li et al.
A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment
Hengyang Lu, Xin Guo, Shuai Feng et al.
Region-Point Joint Representation for Effective Trajectory Similarity Learning
Hao Long, Silin Zhou, Lisi Chen et al.
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.