Hanchen Wang
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    • 🎉 One paper accepted by TKDE 2026
    • 🎉 Elected to the UTS FEIT Faculty Board
    • 🎉 Two papers accepted by IEEE ICDM 2026
    • 🎉 One paper accepted by SIGMOD 2027
    • 🎉 One paper accepted by ACM CCS 2026
    • 🎉 Agentic AI Survey & ICDE 2026 Tutorial
    • 🎉 One paper accepted by ICML 2026
    • 🎉 One paper accepted by TKDE 2026
    • 🎉 One paper accepted by EDBT 2026
    • 🎉 One paper accepted by Information Sciences
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    • 🎉 One paper accepted by VLDB 2025
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  • Publications
    • SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs
    • FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
    • UniCom: A Unified Framework for Community Search and Detection via Transfer Learning
    • Multivariate Time Series Forecasting needs Cross Variable Loss
    • Mining Discriminative Salient Objects with Optimal Transport for Few-Shot Image Classification
    • Algebraic Subgraph Counting
    • WOCD: A semi-supervised method for overlapping community detection using weak cliques
    • OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios
    • HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning
    • Data-Centric Foundations of Agentic AI
    • EXG: Self-Evolving Agents with Experience Graphs
    • GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model
    • Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
    • Towards Generative Graph Matching for Graph Edit Distance Computation
    • MGDN: A Graph of Graphs Neural Network for Malware Detection
    • Data in Agentic AI: A Comprehensive Survey
    • Accelerating K-Core Computation in Temporal Graphs
    • Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification
    • Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey
    • Finding critical users in social networks with reinforcement learning
    • RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning
    • Computing Historical k-Core in Parallel
    • Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction
    • Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
    • Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
    • Machine Learning for Graph Data Management and Query Processing
    • HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
    • Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach
    • Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks
    • IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis
    • Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning
    • AIGC for Graphs: Current Techniques and Future Trends
    • Covering K-Cliques in Billion-Scale Graphs
    • DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
    • AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models
    • Inferring gene regulatory networks by hypergraph generative model
    • RIDA: a robust attack framework on incomplete graphs
    • Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
    • Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms
    • Deep Learning Approaches for Similarity Computation: A Survey
    • Bipartite Graph Analytics: Current Techniques and Future Trends
    • Simple and Deep Graph Attention Networks
    • STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
    • Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation
    • GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs
    • TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data
    • FPGN: follower prediction framework for infectious disease prevention
    • Group-based Fraud Detection Network on e-Commerce Platforms
    • Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
    • Neural Similarity Search on Supergraph Containment
    • TMN: Trajectory Matching Networks for Learning Similarity Computation
    • Neural Subgraph Counting with Wasserstein Estimator
    • Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
    • Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs
    • Bipartite Graph Capsule Network
    • Powerful Graph of Graphs Neural Network for Structured Entity Analysis
    • Binarized Graph Neural Network
    • T3S: Effective Representation Learning for Trajectory Similarity Computation
    • EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search
    • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
    • I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space
    • Skyline Nearest Neighbor Search on Multi-layer Graphs
    • I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space
  • Students
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    • Yunyi Zhu
    • Han Chen
    • Jueying Huang
    • Shenghao Xu
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    • Zhouyang Xie
    • Runze Li
    • Wei Cao
    • Wei Huang
    • Zuocheng Ding
    • Shiqi Yang
    • Yijia Mi
    • Yuxin Jin
    • Shaozhen Ma
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    • Kuiye Ding
    • Yuanyuan Zhou
    • Yang Yang
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    • Yifan Zhu
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    • Yiheng Hu
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    • Jiadong Chen
    • Dejun Kong
    • Xiaoxian Liu
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    • Mengting Pan
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SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs

Sep 13, 2026·
Jianke Yu
Hanchen Wang
Hanchen Wang
,
Chen Chen
,
Xiaoyang Wang
,
Wenjie Zhang
,
Ying Zhang
,
Xijuan Liu
· 0 min read
Type
Journal article
Publication
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2026
Last updated on Sep 14, 2026
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation Aug 6, 2026 →

© 2026 Hanchen Wang. This work is licensed under CC BY NC ND 4.0

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