IJCAI 2025

1,280 papers

Explainable Graph Representation Learning via Graph Pattern Analysis

Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

Attribute Association Driven Multi-Task Learning for Session-based Recommendation

Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei

FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients

Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh

Higher-order Logical Knowledge Representation Learning

Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang

FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting

Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang

EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking

Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks

Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo

RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming

Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting

Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li

Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data

Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi

Non-collective Calibrating Strategy for Time Series Forecasting

Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang

SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines

Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang

Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios

Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang

Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation

Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye

Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding

Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu

DualCast: A Model to Disentangle Aperiodic Events from Traffic Series

Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning

Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao

Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning

Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction

Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification

Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint

Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

Rethinking Graph Contrastive Learning Through Relative Similarity Preservation

Zhiyuan Ning, pengfei wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou

MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation

Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu

PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment

Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu

Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling

Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong

STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks

Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin

Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting

Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou

Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs

Dongyuan Ma, Dongxiao He, Xin Huang

CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation

Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou

Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation

Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei

DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation

Yezi Liu, Jiaxuan Xie, Yanning Shen

Sharpness-aware Zeroth-order Optimization for Graph Transformers

Yang Liu, Chuan Zhou, Yuhan Lin, SHUAI ZHANG, Yang Gao

Heterogeneous Temporal Hypergraph Neural Network

Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

Flow Matching Based Sequential Recommender Model

Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong

Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective

Chang Liu, Hai Huang, Xingquan Zuo

Preference Identification by Interaction Overlap for Bundle Recommendation

Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang

Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling

Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems

Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng

Decision-Aware Preference Modeling for Multi-Behavior Recommendation

Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin

TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs

Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen

App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation

Ke Li, Leong Hou U, Shuo Shang

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks

Jiafan Li, Jiaqi Zhu, Liang Chang, Yilin Li, Miaomiao Li

Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation

Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou

Prototype-based Optimal Transport for Out-of-Distribution Detection

Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection

Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li

FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity

Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao

HGMP: Heterogeneous Graph Multi-Task Prompt Learning

Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu

Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation

Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao

OS-GCL: A One-Shot Learner in Graph Contrastive Learning

Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu

Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems

Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Lei Hu, Zhiyong Gan, Ling Deng, Jinglin Liang, Lingyu Liang

Soft Reasoning Paths for Knowledge Graph Completion

Yanning Hou, sihang zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen

Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process

Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang

A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization

Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li

ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs

Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation

Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu

MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking

Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He

HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender

Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion

Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai

Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning

Xinyan Hao, Huaiyu Wan, Shengnan Guo, Youfang Lin

Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU

Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi

NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection

Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang

Enabling Visual Foundation Models to Teach Compact Students via Mixture of Distillation

Xinye Yang, Shang Wang, Li Luking, Yipeng Chen

Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better

Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang

NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration

Jiawei Gu, Ziyue Qiao, Xiao Luo

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong

Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding

Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang

Efficient Dynamic Graphs Learning with Refined Batch Parallel Training

Zhengzhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang

Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks

Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao

Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry

Xiaocong Du, Haoyu Pei, Haipeng Zhang

Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation

Rui Dong, Jiaxing Li, Weihuang Zheng, Youyong Kong

Adaptive Graph Unlearning

Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion

Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs

Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams

Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu

FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis

Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding

Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu

GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation

Hao Cang, Huanhuan Yuan, Jiaqing Fan, lei zhao, Guanfeng Liu

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du

Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion

Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li

A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation

Jeroen Spaans, Jesse Heyninck

New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets

Siddharth Prasad, Ellen Vitercik, Maria-Florina Balcan, Tuomas Sandholm

New Algorithms for #2-SAT and #3-SAT

Junqiang Peng, Zimo Sheng, Mingyu Xiao

Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning

Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yi-Xiang Hu

An Efficient Core-Guided Solver for Weighted Partial MaxSAT

Shiwei Pan, Yiyuan Wang, Shaowei Cai

Efficient and Rigorous Model-Agnostic Explanations

Joao Marques-Silva, Jairo A. Lefebre-Lobaina, Maria Vanina Martinez

Constrained Sequential Inference in Machine Learning Using Constraint Programming

Virasone Manibod, David Saikali, Gilles Pesant

Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3,8) and R(3,9) Problems

Zhengyu Li, Conor Duggan, Curtis Bright, Vijay Ganesh

Bimodal Depth-First Search for Scalable GAC for AllDifferent

Sulian Le Bozec-Chiffoleau, Nicolas Beldiceanu, Charles Prud'homme, Gilles Simonin, Xavier Lorca

A SAT-based Method for Counting All Singleton Attractors in Boolean Networks

Rei Higuchi, Takehide Soh, Daniel Le Berre, Morgan Magnin, Mutsunori Banbara

Privacy Preserving Solution of DCOPs by Local Search

Shmuel Goldklang, Tal Grinshpoun, Tamir Tassa

Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation

Marianne Defresne, Jayanta Mandi, Tias Guns

Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints

Yu Cong, Chao Xu, Yi Zhou

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems

Junyang Cai, Serdar Kadioglu, Bistra Dilkina

Learning Optimal Oblique Decision Trees with (Max)SAT

Florent Avellaneda

Top-Down Guidance for Learning Object-Centric Representations

Junhong Zou, Xiangyu Zhu, Zhaoxiang Zhang, Zhen Lei

CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation

Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen