AAAI 2026

4,920 papers

Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning

Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo

TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space

Xiao Zhang, Xingyu Zhao, Yuan Cao, Bin Wang, Guiyuan Jiang

D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos

Wenkang Zhang, Yan Zhao, Qiang Wang, Zhixin Xu, Li Song

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data

Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao

Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation

Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection

Jingyuan Zhang, Xin Wang, Lei Yu, Li Yang, Fengjun Zhang

Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure

Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei

MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin

MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization

Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He

GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization

Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen

Sequence-Free for Compound Protein Interaction Prediction

Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai

Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment

Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du

Multi-Aspect Cross-modal Quantization for Generative Recommendation

Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen

DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation

Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation

Dong Zhang, Lin Li, Ming Li, Amran Bhuiyan, Meng Sun

DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation

Xiaohan Zhan, Yuliang Shi, Jihu Wang, Shijun Liu, Fanyu Kong

Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation

Haochen Yuan, Yang Zhang, Xiang He, Quan Z. Sheng, Zhongjie Wang

DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing

Zhongqing Yu, Xin Liu, Yiu-ming Cheung, Zhikai HU, Wentao Fan

Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning

Yanwei Yu, Hong Xia, Shaoxuan Gu, Xingyu Zhao, Dongliang Chen

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective

Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning

En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang

MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference

Chu-Chun Yu, Ming-Yi Hong, Miao-Chen Chiang, Min Chen Hsieh, Che Lin

Neural Graph Navigation for Intelligent Subgraph Matching

Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang, Rui Wang

NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning

Ming Yin, Zongsheng Cao, Qiqing Xia, Chenyang Tu, Neng Gao

FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates

Zhenqiang Ye, Jinjie Lu, Tianlong Gu, Fengrui Hao, Xuemin Wang

Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation

Wencai Ye, Mingjie Sun, Shuhang Chen, Wenjin Wu, Peng Jiang

Making Visual Dialogue More Engaging: A New Task, Method, and Metric

Guanghui Ye, Huan Zhao, Yingxue Gao, Zhixue Zhao, Kehan Wang

DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling

Zihao Yao, Jiankai Zuo, Yaying Zhang

Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server

Yue Yao, Ruining Yang, Tom Gedeon

Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection

Zhiwei Yang, Haimei Qin, Xiaoyan Yu, Hao Peng, Lei Jiang

GIER: Addressing Class Imbalance in GNNs Through Experience Replay

Liu Yang, Chuyao Liu, Zidong Wang, Tingxuan Chen, Mengni Chen

DRSoRec: Dual-Rectification of Social Networks for Recommendation

Liangxun Yang, Tianzi Zang, Jiayi Sun, Juan Li, Yicong Li

A Novel Retrieve-Read-Group Paradigm for Open Knowledge Base Canonicalization

Binhan Yang, Wei Shen, Han Tian

SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection

Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting

IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection

Yang Xu, Yixiao Ma, Kaifeng Zhang, Zuliang Yang, Kai Ming Ting

Bridging Optimization and Neural Networks for Efficient Multi-view Clustering

Huilang Xu, Xiang-Xiang Su, Simin Chen, Guang-Yong Chen, Xing Chen

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation

Huayang Xu, Huanhuan Yuan, Guanfeng Liu, Junhua Fang, lei zhao

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems

Cai Xu, Xujing Wang, Ziyu Guan, Wei Zhao, Meng Yan

MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding

Bo Xu, Chenyuan Wang, Xinyu Chen, Hongfei Lin, Feng Xia

Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment

Yanzhe Xie, Li Huang, Qiang Gao, Xueqin Chen, Fan Zhou

CLUHCS:Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling

Xiaoqin Xie, Bin Zhao, Mingzhu Chang, Shuai Han, Wu Yang

The Last Byte: Learning Just Enough for Machine-Oriented Image Compression

Wuyuan Xie, Zhenming Li, Ye Liu, Jian Jin, Yun Song

FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing

Wenjing Xiao, Wenhao Song, Miaojiang Chen, Min Chen

From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples

Canran Xiao, Jiabao Dou, Zhiming Lin, Zong Ke, Liwei Hou

ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models

Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng, Yilong Zhou, Weizhi Wang

REACTION: Parameter-Efficient Learning for Recommendation

Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification

Guangkai Wu, Gen Liu, CHAO LI, Qingtian Zeng, Hui Zhou

Dual-Perspective Disentanglement: Learning Symmetric Group-Aware Representations for Cross-Domain Recommendation

Borui Wu, Yuanbo Xu

MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting

Binqing Wu, Weiqi Chen, SHIYU LIU, Zongjiang Shang, Haiou Wang

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting

Binqing Wu, Zongjiang Shang, SHIYU LIU, Jianlong Huang, Jiahui Xu

DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors

Zhuoxing Wei, Qingchen Xie, Qi Liu, Jingsong Yu

T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs

Chunyu Wei, Huaiyu Qin, Siyuan He, Yunhai Wang, Yueguo Chen

Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation

Zi'ang Wang, Lei Chen, Yuanchang Jin, Pan Deng, Shuangshuang Pang

MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation

Yige Wang, Mingming Li, Li Wang, Kaichen Zhao, Wangming Li

Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents

Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang

Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery

Xiangxu Wang, Tianhong Zhao, Wei Tu, Bowen Zhang, Guanzhou Chen

MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation

Tuo Wang, Meng Jian, Ge Shi, Lifang Wu, Yashen Wang

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation

Shu Wang, Yixiang Fang, Yingli Zhou, Xilin Liu, Yuchi Ma

Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing

Mengying Wang, Chenhui Ma, Ao Jiao, Tuo Liang, Pengjun Lu

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection

Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang

Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction

Junsheng Wang, Tiantian Gong, Yeyun Wu, Xiaobing Sun

Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation

Jingyuan Wang, Zhichun Wang, Tong Lu, Yiming Guan

TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models

Hengyi Wang, Weiying Xie, Hui Jiang, Yaotao Wei, Kai Jiang

HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion

Di Wang, Junping Du, Zhe Xue, Meiyu Liang, Guanhua Ye

TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion

Zexuan Wan, Bo Wang, Kuofei Fang, Bin Wu

OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams

Nicolas Rojas Varela, Julien Ah-Pine, Engelbert Mephu Nguifo

HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association

Xiaofan Tu, Tiantian Duan, Shuyi Miao, Hanwen Zhang, Yi Sun

Task-Aware Retrieval Augmentation for Dynamic Recommendation

Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du

Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models

Hao Tang, Yu Liu, Shuanglin Yan, Fei Shen, Shengfeng He

Generalising Traffic Forecasting to Regions Without Traffic Observations

Xinyu Su, Majid Sarvi, Feng Liu, Egemen Tanin, Jianzhong Qi

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm

Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, XiaoHua Feng

Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models

Tianrui Song, Wen-Shuo Chao, Hao Liu

AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer

Yulim So, Seokho Kang

SEQRET: Mining Rule Sets from Event Sequences

Aleena Siji, Joscha Cüppers, Osman Mian, Jilles Vreeken

SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation

Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu

Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion

Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu

ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution

Anil Sharma, Gunturi Venkata Sai Phani Kiran, Jayesh Rajkumar Vachhani, Sourabh Vasant Gothe, Ayon Chattopadhyay

HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting

Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen

Bidirectional Counterfactual Distillation for Review-Based Recommendation

Sheng Sang, Shujie Li, Shuaiyang Li, Kang Liu, Teng Li

Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models

Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen

TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution

Fengli Ran, Xiao Pu, Bo Liu, Xiuli Bi, Bin Xiao

Adaptive Frequency Pathways for Spatiotemporal Forecasting

Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders

Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang

WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations

Huiling Qin, Yuanxun Li, Weijia Jia

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection

Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang

UNO! UNified Offline Training Paradigm for Learning Path Recommendation

Linzhi Peng, Wentao Zhu, Ke Cheng, Heng Chang, Junchen Ye

Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals

Chung Park, Taesan Kim, Hyeongjun Yun, Dongjoon Hong, Junui Hong

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models

Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia

Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning

Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection

Zhenliang Ni, Qiangyu YAN, Mouxiao Huang, Tianning Yuan, Yehui Tang

R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression

Fangzhe Nan, Frederick W. B. Li, Gary K. L. Tam, Zhaoyi Jiang, Bailin Yang

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, Jia Ao Sun, Zhichao Xu

Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks

Ritwick Mishra, Abhijin Adiga, Madhav Marathe, S. S. Ravi, Ravi Tandon

ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation

Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation

Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo

Multi-graph Fusion Cross-model Contrastive Learning for Recommendation

Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang

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, Tianjun Wei, Haijun Zhang

LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce

Wenjun Lyu, Fangyu Li, Yudong Zhang, Shuai Wang, Yunhuai Liu