AAAI 2026

4,920 papers

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks

Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu

Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob

Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong

SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio

Tong Lu, Zhichun Wang, Yaoyu Zhou, Yiming Guan, Zhiyong Bai

MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection

Ruiying Lu, Gang Liu, Kang Li, Long Tian, Junwei Zhang

A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment

Hengyang Lu, Xin Guo, Shuai Feng, Wenyu Jiang, Yuntao Du

Region-Point Joint Representation for Effective Trajectory Similarity Learning

Hao Long, Silin Zhou, Lisi Chen, Shuo Shang

Reimagining Anomalies: What If Anomalies Were Normal?

Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Puyu Wang, Alexander Bartscher

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction

Zhiqiang Liu, Yin Hua, Mingyang Chen, Yichi Zhang, Zhuo Chen

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, Weiming Liu, Xuhui Fan

S²HyRec: Self-Supervised Hypergraph Sequential Recommendation

Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu

PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models

Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang

SEFEL: A Simple Yet Effective Framework for Fast Event Linking

Yinan Liu, Ziyang Zhang, Bin Wang, Xiaochun Yang

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, Aritra Konar

Hierarchical Attention Network with Correction for Cross-Domain User Association

Wenlong Liu, Ze Wang, Chenlong Wu, Yude Bai, Ji Zhang

MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation

Junping Liu, Mingchao Yu, Xinrong Hu, Rui Yan, Wanqing Li

Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering

Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender

Jialin Liu, Zhaorui Zhang, Ray C.C. Cheung

Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution

Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation

Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu

Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation

Emily Liu, Kuan Han, Minfeng Zhan, Bocheng Zhao, Guanyu Mu

UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning

Aoyu Liu, Yaying Zhang

RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation

Run Ling, Wenji Wang, Yuting Liu, Guibing Guo, Haowei Liu

Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation

Yuxi Lin, Yongkang Li, Jie Xing, Zipei Fan

Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning

Yingde Lin, Yuanbo Xu, Lu Jiang, Pengyang Wang

Learnable Matrix Profile for Motif Discovery on Multivariate Time Series

Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li

Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs

Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization

Jingyi Liao, Yongyi Su, Rong-Cheng Tu, Zhao Jin, Wenhao Sun

Sign-Aware Multimodal Graph Recommendation

Yahong Lian, Haotian Tian, Chunyao Song, Tingjian Ge

Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection

Jie Lian, zhihao wu, Jielong Lu, Jiajun Yu, QIANQIAN SHEN

Towards Synthesizing High-Dimensional Tabular Data with Limited Samples

Zuqing Li, Junhao Gan, Jianzhong Qi

Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation

Zilong Li, Jia Zhu, Chenglei Huang, Zhangze Chen, Hanghui Guo

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation

Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift

Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs

Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen

Data-Centric Sequential Recommendation with Relation-Augmented Generation

Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang

RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation

Xuetao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang

Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection

Xiaoxiang Li, Xihe Xie, Hai Wan, Xibin Zhao

Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning

Xiaojing Li, Bin Wang, Xiaochun Yang, Meng Luo

Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy

Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu

Adaptive Diffusion-based Augmentation for Recommendation

Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu

Can Molecular Evolution Mechanism Enhance Molecular Representation?

Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong

Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models

Haodong Li, Lianyong Qi, Weiming Liu, Fan Wang, Chong Li

Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM

Guoyi Li, Die Hu, Haozhe Li, Zhongjiang Yao, Wei Mi

Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation

Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo

CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning

Dong Li, Lingling Zhang, Binghao Han, Linlin Ding, Yue Kou

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs

CHAO LI, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng

SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation

Changhong Li, Zhiqiang Guo, Guohui Li, Zhong Yang, Chuhang Hong

Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval

Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai

MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity

Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen

SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce

Li Kong, Bingzhe Wang, Zhou Chen, Suhan Hu, Yuchao Ma

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

HyunGi Kim, Jisoo Mok, HyunGyu Lee, Juhyeon Shin, Sungroh Yoon

PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution

Xiao Kang, Xingbo Liu, Shuo Pan, Xuening Zhang, Xiushan Nie

Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection

Minseo Kang, Seunghwan Park, Dongha Kim

Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters

Fang Kai, Yu Zhang, Kaibin Wang, Lei Sang, Yiwen Zhang

Inference-time Scaling for Diffusion-based Audio Super-resolution

Yizhu Jin, Zhen Ye, Zeyue Tian, Haohe Liu, Qiuqiang Kong

Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment

Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He

Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation

Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan

CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation

Xinzhe Jiang, Lei Sang, Yi Zhang, Kaibin Wang, Yiwen Zhang

Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation

Xiaowen Jiang, Jing Yang, ShunDong Yang, Yuan Gao, Xinfa Jiang

SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning

Wei Jiang, Yongqi Zhai, Jiayu Yang, Bohao Feng, wenqiang wang

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation

Hao Jiang, Guoquan Wang, Donglin Zhou, Sheng Yu, Yang Zeng

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks

Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu

FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs

Xuanteng Huang, Fan Li, Riyang Hu, Jianchang Zhang, Yuan Peng

Context-aware Graph Meta-learning

Ningbo Huang, Gang Zhou, Meng Zhang, Shunhang Li, Ling Wang

BAG: Benchmarking Anomaly Detection on Dynamic Graphs

Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection

Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong

From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization

Peiyu Hu, Wayne Lu, Jia Wang

Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning

Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification

Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He

Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation

Yu Hou, Won-Yong Shin

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation

Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang

Multimodal Graph Representation Learning with Dynamic Information Pathways

Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li

Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation

Peng He, Yanglei Gan, Tingting Dai, Run Lin, Xuexin Li

M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation

Chuan He, Yongchao Liu, Qiang Li, Chuntao Hong, Wenliang Zhong

LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs

Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu

Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection

Dongmei Han, Min Min, Yuchen Wang, Guoming Xu, Xiaofeng Zhou

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion

Chenxu Han, Sean Bin Yang, Jilin Hu

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng

Order-Preserving Dimension Reduction for Multimodal Semantic Embedding

Chengyu Gong, Gefei Shen, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space

Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li

DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression

Chunyang Fu, Tai Qin, Shiqi Wang, Zhu Li

Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation

Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang

Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation

Ke Fei, Da Luo, Kangyi Lin, Zibin Zhang, Jingjing Li

Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction

Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao

Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation

Yangyi Fang, Haolin Shi

HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization

Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang

Transferable Graph Condensation from the Causal Perspective

Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou

Inductive Generative Recommendation via Retrieval-based Speculation

Yijie Ding, Jiacheng Li, Julian McAuley, Yupeng Hou

Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks

Linlin Ding, Zhaosong Zhao, Mo Li, Yishan Pan, Xin Wang

ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion

Ling Ding, Zhizhi Yu, Di Jin, Lei Huang

Delayed Feedback Modeling with Influence Functions

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang

Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets

Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade

De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation

Xiaoxi Cui, Chao Zhao, Yurong Cheng, Xiangmin Zhou

Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness

Wuyang Cong, Junqi Shi, Lizhong Wang, Weijing Shi, Ming Lu

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation

Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He

TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology

Zonghao Chen, Yuncheng Jiang, Gang Li

ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning

Yong Chen, Li Li, Nannan Zong, Zhihui Liu, Song-Zhi Su