Hanchen Wang
  • About
  • News
  • Publications
  • Academic Services
  • Supervision
    • ๐Ÿง‘โ€๐ŸŽ“ Supervision
    • Full List
    • Current Ph.D.
    • Current MPhil
  • More about me
  • Supervision
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • News
    • ๐ŸŽ‰ One paper accepted by CIKM 2025
    • ๐ŸŽ‰ VLDB Tutorial
    • ๐ŸŽ‰ New Position at UTS
  • Publications
    • Machine Learning for Graph Data Management and Query Processing
    • Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
    • 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
    • Guangxin Su
    • Jianke Yu
    • Xinyi Li
    • Yifan Zhu
    • Yunyi Zhu
    • Han Chen
    • Jueying Huang
    • Shenghao Xu
    • Xulu Gong
    • Zhouyang Xie
    • Runze Li
    • Wei Huang
    • Zuocheng Ding
    • Yijia Mi
    • Yuxin Jin
    • Shaozhen Ma
    • Yuanyuan Zhou
    • Shiqi Yang
    • Yang Yang
    • Yiheng Hu
    • Xingbo Du
    • Dejun Kong
    • Jiadong Chen
    • Xiaoxian Liu
    • Guangjian Zhang
    • Xingyu Tan
    • Mengting Pan
  • Teaching
    • Learn JavaScript
    • Learn Python

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching

Mar 1, 2025ยท
Wei Huang
Hanchen Wang
Hanchen Wang
,
Dong Wen
,
Wenjie Zhang
,
Ying Zhang
,
Xuemin Lin
ยท 0 min read
Cite DOI URL
Type
Journal article
Publication
CoRR
Last updated on Jul 16, 2025
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer

โ† Covering K-Cliques in Billion-Scale Graphs Mar 1, 2025
AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models Feb 1, 2025 โ†’

ยฉ 2025 Hanchen Wang. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder โ€” the free, open source website builder that empowers creators.