Hanchen Wang
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    • 🎉 Two papers accepted by IEEE ICDM 2026
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    • FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
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    • 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
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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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UniCom: A Unified Framework for Community Search and Detection via Transfer Learning

Aug 6, 2026·
Yifan Zhu
Hanchen Wang
Hanchen Wang
,
Wenjie Zhang
,
Alexander Zhou
,
Ying Zhang
· 0 min read
Cite DOI URL
Type
Conference paper
Publication
IEEE International Conference on Data Mining (ICDM) 2026
Last updated on Aug 18, 2026
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer
← FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation Aug 6, 2026
Algebraic Subgraph Counting Jun 13, 2026 →

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

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