Hanchen Wang

Orcid: 0000-0003-3158-9586

Affiliations:

University of Technology Sydney, Faculty of Engineering and Information Technology, School of Computer Science, NSW, Australia
Zhejiang Gongshang University, China
University of New South Wales, Sydney, NSW, Australia (2021 - 2022)
University of Technology Sydney, NSW, Australia (PhD 2021)

According to our database¹, Hanchen Wang authored at least 44 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications.

[BibT_eX]

[DOI]

CoRR, October, 2025

Correction to: IGFM: An Enhanced Graph Similarity Computation Method with Fine‑Grained Analysis.

[BibT_eX]

[DOI]

Data Sci. Eng., September, 2025

IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis.

[BibT_eX]

[DOI]

Data Sci. Eng., September, 2025

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis.

[BibT_eX]

[DOI]

CoRR, September, 2025

RIDA: a robust attack framework on incomplete graphs.

[BibT_eX]

[DOI]

World Wide Web (WWW), August, 2025

Machine Learning for Graph Data Management and Query Processing.

[BibT_eX]

[DOI]

Hanchen Wang

Ying Zhang

Wenjie Zhang

Proc. VLDB Endow., August, 2025

Accelerating K-Core Computation in Temporal Graphs.

[BibT_eX]

[DOI]

CoRR, August, 2025

WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques.

[BibT_eX]

[DOI]

CoRR, August, 2025

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN.

[BibT_eX]

[DOI]

CoRR, June, 2025

Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach.

[BibT_eX]

[DOI]

Proc. VLDB Endow., April, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2025

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Covering K-Cliques in Billion-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

AIGC for Graphs: Current Techniques and Future Trends.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Deep Learning Approaches for Similarity Computation: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

Influence maximization on hypergraphs via multi-hop influence estimation.

[BibT_eX]

[DOI]

Inf. Process. Manag., March, 2024

Neural Similarity Search on Supergraph Containment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Simple and deep graph attention networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

RIDA: A Robust Attack Framework on Incomplete Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

[BibT_eX]

[DOI]

CoRR, 2024

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Neural Similarity Search on Supergraph Containment (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Bipartite Graph Analytics: Current Techniques and Future Trends.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2024

2023

FPGN: follower prediction framework for infectious disease prevention.

[BibT_eX]

[DOI]

World Wide Web (WWW), November, 2023

Bipartite graph capsule network.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Group-based Fraud Detection Network on e-Commerce Platforms.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Polarity-based graph neural network for sign prediction in signed bipartite graphs.

[BibT_eX]

[DOI]

World Wide Web, 2022

Powerful graph of graphs neural network for structured entity analysis.

[BibT_eX]

[DOI]

World Wide Web, 2022

Neural Subgraph Counting with Wasserstein Estimator.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

TMN: Trajectory Matching Networks for Predicting Similarity.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Designing Machine Learning Models for Graph Analytics

[BibT_eX]

[DOI]

Hanchen Wang

PhD thesis, 2021

Binarized graph neural network.

[BibT_eX]

[DOI]

World Wide Web, 2021

EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search.

[BibT_eX]

[DOI]

VLDB J., 2021

T3S: Effective Representation Learning for Trajectory Similarity Computation.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

2019

I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Skyline Nearest Neighbor Search on Multi-layer Graphs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Hanchen Wang

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