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AAAI 2025

3,486 papers

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment

Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation

Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu

Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation

Mohit Prashant, Arvind Easwaran, Suman Das, Michael Yuhas

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection

Junjun Pan, Yixin Liu, Xin Zheng, YIZHEN ZHENG, Alan Wee-Chung Liew

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights

Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective

Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr

Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks

Lingyu Mu, Zhengxiao Liu, Zhitong Zhu, Zheng Lin

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

Fanshen Meng, Zhenhua Meng, Ru Jin, Rongheng Lin, Budan Wu

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian

Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion

Kai Mao, Yiyang Lian, Yangyang Wang, Meiqin Liu, Nanning Zheng

GenAuction: A Generative Auction for Online Advertising

Yuchao Ma, Ruohan Qian, Bingzhe Wang, Qi Qi, Wenqiang Liu

On Designing the Optimal Integrated Ad Auction in E-commerce Platforms

Yuchao Ma, Weian Li, Yuhan Wang, Zitian Guo, Yuejia Dou

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion

Tengfei Ma, yujie Chen, Liang Wang, Xuan Lin, Bosheng Song

Sub-Interest-Aware Representation Uniformity for Recommender System

Ruijia Ma, Yahong Lian, Chunyao Song

AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis

Haiping Ma, Yue Yao, Changqian Wang, Siyu Song, Yong Yang

Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation

Mingyang Lv, Xiangfeng Liu, Yuanbo Xu

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning

Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi

Enhancing Sequential Recommendation with Global Diffusion

Mingxuan Luo, Yang Li, CHEN LIN

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang

Densest k-Subgraph Mining via a Provably Tight Relaxation

Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering

Xiao Long, Liansheng Zhuang, Aodi Li, MingHong Yao, Shafei Wang

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective

Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu

SIGMA: Selective Gated Mamba for Sequential Recommendation

Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

Zijin Liu, Xiang Zhao, You Song

CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation

Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models

Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan

THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction

Yanchao Liu, Pengzhou Zhang, Wenchao Song, Yao Zheng, Deyu Li

Effective and Efficient Representation Learning for Flight Trajectories

Shuo Liu, Wenbin Li, Di Yao, Jingping Bi

Coherency Improved Explainable Recommendation via Large Language Model

Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach

Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu

Distribution-Consistency-Guided Multi-modal Hashing

Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che, Rong-Cheng Tu

Unified Graph Neural Networks Pre-training for Multi-domain Graphs

Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

Exploring the Relationship Between Samples and Masks for Robust Defect Localization

Jiang Lin, hui xue, Fanxiu Sun, Yaping Yan

Iterative Sparse Attention for Long-sequence Recommendation

Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo

Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework

Xun Liang, Zhiying Li, Hongxun Jiang

SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction

Zetao Li, Zheng Hu, Peng Han, Yu Gu, Shimin Cai

Structure Balance and Gradient Matching-Based Signed Graph Condensation

Rong Li, Long Xu, Songbai Liu, Junkai Ji, Lingjie Li

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels

Pengbo Li, Hang Yu, Xiangfeng Luo

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning

Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang

Adaptive Dataset Quantization

Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin

Self-Explainable Graph Transformer for Link Sign Prediction

Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang

Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction

Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao

Disentangled Contrastive Bundle Recommendation with Conditional Diffusion

Jiuqiang Li

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation

Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization

Guanghan Li, Xun Zhang, Yufei Zhang, Yifan Yin, Guojun Yin

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation

Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation

Sanghyuck Lee, Sangkeun Park, Jaesung Lee

RouterRetriever: Routing over a Mixture of Expert Embedding Models

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs

Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti

Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval

Mingjin Kuai, Jun Long, Zhan Yang

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren

Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination

Lingdu Kong, Xiaochun Yang, Tieying Li, Bin Wang, Xiangmin Zhou

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Taeri Kim, Jiho Heo, Hyunjoon Kim, Sang-Wook Kim

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems

Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship

Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang

Cluster-guided Contrastive Class-imbalanced Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu

HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks

Jia Jinghong, Lei Song, Jiaxing Li, Youyong Kong

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models

Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Xueqin Chen

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Jiazheng Jing, Yinan Zhang, Chunyan Miao

HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models

Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh

Auto Encoding Neural Process for Multi-interest Recommendation

Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang

Time Series Supplier Allocation via Deep Black-Litterman Model

Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai

Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution

Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context

Harry Hughes, Michael Horton, Xinyu Wei, Harshala Gammulle, Clinton Fookes

Multiplex Graph Representation Learning with Homophily and Consistency

Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu

Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM

Yiheng Huang, Xiaowei Mao, Shengnan Guo, Yubin Chen, Junfeng Shen

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs

Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models

Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation

Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei

MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction

Dongsheng Hong, Chao Chen, Xujia Li, Shuhui Wang, Wen Lin

Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction

Sicheng He, Junzhong Ji, Minglong Lei

Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning

Chengkai Han, Jingyuan Wang, Yongyao Wang, Xie Yu, Hao Lin

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts

Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou

K-ON: Stacking Knowledge on the Head Layer of Large Language Model

Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models

Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams

Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation

Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen

Mixed-Curvature Multi-Modal Knowledge Graph Completion

Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu

Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction

Mohan Gao, Kexin Xu, Xiaofeng Gao, Tengwei Cai, Haoyuan Ge

Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System

Feng Gao, Xin Zhou, Yinning Shao, Yue Wu, Jiahua Gao

Modeling Latent Non-Linear Dynamical System over Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction

Ke Fei, Xinyue Zhang, Jingjing Li

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting

Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

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

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data

Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, DONGMIN KIM, Ye Seul Sim

Global Attribute-Association Pattern Aggregation for Graph Fraud Detection

Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation

Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang

Neural Reasoning for Sure Through Constructing Explainable Models

Tiansi Dong, Mateja Jamnik, Pietro Lió

On Finding Hubs in High Dimensions with Sampling

Huiwen Dong, Linghan Zeng, Zhiwen Zhao, Francesco Silvestri, Ninh Pham

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion

Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He