AAAI 2025

3,486 papers

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation

Shuyuan Zhao, Wei Chen, Boyan Shi, Liyong Zhou, Shuohao Lin

Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning

Maochang Zhao, Jing Zhang

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang

LLM-Powered User Simulator for Recommender System

Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective

Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu

Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning

Ye Zhang, Yanqi Gao, Dongjie Wang, Yupeng Zhou, Jinlong He

A Lightweight Sparse Interaction Network for Time Series Forecasting

Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

ExcluIR: Exclusionary Neural Information Retrieval

Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution

Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi

Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere

Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu

Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder

Qiqi Zhang, CHAO LI, Zhongying Zhao

Trigger3:Refining Query Correction via Adaptive Model Selector

Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

Junxuan Zhang, Zhengxue Cheng, Yan Zhao, Shihao Wang, Dajiang Zhou

Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation

Jinyu Zhang, Zhongying Zhao, CHAO LI, Yanwei Yu

Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference

Jiaqiang Zhang, Songcan Chen

Scalable Trajectory-User Linking with Dual-Stream Representation Networks

Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang

Learned Image Transmission with Hierarchical Variational Autoencoder

Guangyi Zhang, Hanlei Li, Yunlong Cai, Qiyu Hu, Guanding Yu

DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval

Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou

AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression

Chenhao Zhang, Wei Gao

Core Knowledge Learning Framework for Graph

Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification

Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis

Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks

Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems

Weiqi Yue, Yuyu Yin, Xin Zhang, Binbin Shi, Tingting Liang

Dynamic Graph Learning with Static Relations for Credit Risk Assessment

Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng

Fuzzy Collaborative Reasoning

Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection

Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun

Mind Individual Information! Principal Graph Learning for Multimedia Recommendation

Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection

Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation

Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang

Disentangling Tabular Data Towards Better One-Class Anomaly Detection

Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng

Disentangled Modeling of Preferences and Social Influence for Group Recommendation

Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning

Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu

Curriculum Conditioned Diffusion for Multimodal Recommendation

Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie

Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer

JINYU YANG, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin

Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection

Bokang Yang, Zhe Zhang, Jie Ma

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data

Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi

Federated Graph Condensation with Information Bottleneck Principles

Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking

Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong

Out-of-Distribution Generalization on Graphs via Progressive Inference

Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong

NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification

Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

Mingtao Xu, Wei Wei, Peixuan Yang, Hulong Wu

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank

Kuan Xu, Kuo Yang, Jian Liu, Xiangkui Lu, Jun Wu

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics

Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation

Cong Xu, Yunhang He, Jun Wang, Wei Zhang

Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning

Fei Xiong, Tao Zhang, Shirui Pan, Guixun Luo, Liang Wang

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training

Shuyin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression

Siqi Wu, Yinda Chen, Dong Liu, Zhihai He

Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph

Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang

Prompt-based Unifying Inference Attack on Graph Neural Networks

Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng

Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration

Zijian Wang, Bin Wang, Haifeng Jing, Huayu Li, Hongbo Dou

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation

Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng

Federated Recommendation with Explicitly Encoding Item Bias

Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang

Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning

Zhe Wang, Suxue Ma, Kewen Wang, Zhiqiang Zhuang

Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering

Yuxiang Wang, Jianzhong Qi, Junhao Gan

Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation

Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang

Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation

Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen

Intent Oriented Contrastive Learning for Sequential Recommendation

Wuhong Wang, Jianhui Ma, Yuren Zhang, Kai Zhang, Junzhe Jiang

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation

Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng

MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection

Mei Wang, Xiaojie Zhu, Ruimin Hu, Dongliang Zhu, Liang Liao

UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach

Kangli Wang, Wei Gao

M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking

Fang Wang, Shenglin Yin, Xiaoying Bai, Minghao Hu, Tianwei Yan

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation

Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing

Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma

POI Recommendation via Multi-Objective Adversarial Imitation Learning

Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song

ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation

Piao Tong, Qiao Liu, Zhipeng Zhang, Yuke Wang, Tian Lan

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs

Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie

CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation

Shuai Tang, Sitao Lin, Jianghong Ma, Xiaofeng Zhang

Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting

Peiwang Tang, Weitai Zhang

Language Pre-training Guided Masking Representation Learning for Time Series Classification

Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao

Hubness Change Point Detection

Ikumi Suzuki, Kazuo Hara, Eiji Murakami

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion

Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation

Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation

Shengyin Sun, Wenhao Yu, Yuxiang Ren, weitao Du, Liwei Liu

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan

Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks

Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation

Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs

Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao

Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation

Chao Song, Zheng Ren, Li Lu

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints

Yash Sinha, Murari Mandal, Mohan Kankanhalli

Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience

Brijraj Singh, Sonal, Niranjan Pedanekar

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors

Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo

Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks

Weixuan Shen, Xiaobo Shen, Shirui Pan

Towards Loss-Resilient Image Coding for Unstable Satellite Networks

Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen

Hyperparametric Robust and Dynamic Influence Maximization

Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan

Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation

Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model

Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang