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xihongyang1999/README.md
  • 👋 Hi, I’m xihong.
  • 👀 My current research interests include Graph Representation Learning, Semi-Supervised Learning, Recommendation System
  • 🌱 I was recommended for admission to the National University of Defense Technology (NUDT) with excellent grades.
  • 💞️ I am working hard and pursuing my Ph.D degree in College of Computer, NUDT.

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  1. ICL_SSL ICL_SSL Public

    [IEEE TNNLS 2022] An official source code for paper Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning.

    Python 40

  2. CCGC CCGC Public

    [AAAI 2023] An official source code for paper Cluster-guided Contrastive Graph Clustering Network.

    Python 90 5

  3. MGCN MGCN Public

    [TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

    Python 9

  4. CONVERT CONVERT Public

    [ACM MM 2023] An official source code for paper "CONVERT: Contrastive Graph Clustering with Reliable Augmentation".

    Python 48

  5. DealMVC DealMVC Public

    [ACM MM 2023] An official source code for paper "DealMVC: Dual Contrastive Calibration for Multi-view Clustering"

    Python 59 1

  6. show me the code.jpeg show me the code.jpeg