Hanchen Wang
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    • Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
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    • AIGC for Graphs: Current Techniques and Future Trends
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    • DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
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    • 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
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    • Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
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    • Neural Subgraph Counting with Wasserstein Estimator
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    • Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs
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    • 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
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    • I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space
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Pandas

Oct 26, 2023 · 1 min read
Go to Project Site

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Jul 10, 2025
Hugo Wowchemy Markdown
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer
PyTorch Oct 26, 2023 →

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

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