Skip to content
@Graph-COM

Graph-COM

Popular repositories

  1. GSAT GSAT Public

    [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

    Jupyter Notebook 140 17

  2. GraphMaker GraphMaker Public

    code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

    Python 38 4

  3. PEG PEG Public

    Python 34 8

  4. ED-HNN ED-HNN Public

    [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

    Python 31 4

  5. GAD-NR GAD-NR Public

    [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

    Jupyter Notebook 27 2

  6. Neighborhood-Aware-Temporal-Network Neighborhood-Aware-Temporal-Network Public

    Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.

    Python 25 4

Repositories

Showing 10 of 31 repositories
  • HEPT Public

    [ICML 2024] LSH-Based Efficient Point Transformer (HEPT)

    Python 10 MIT 4 0 0 Updated May 2, 2024
  • SPE Public

    Official code for SPE

    Python 9 0 1 0 Updated Apr 26, 2024
  • GDL_DS Public

    Code for GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts

    Python 7 MIT 0 0 0 Updated Mar 23, 2024
  • Pair-Align Public

    Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)

    Python 6 MIT 0 0 0 Updated Mar 5, 2024
  • GAD-NR Public

    [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

    Jupyter Notebook 27 2 0 0 Updated Feb 21, 2024
  • GSAT Public

    [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

    Jupyter Notebook 140 MIT 17 0 0 Updated Feb 19, 2024
  • NLB Public

    "No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning" by Yuhong Luo and Pan Li

    Python 4 MIT 0 0 0 Updated Feb 2, 2024
  • GraphMaker Public

    code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

    Python 38 MIT 4 0 0 Updated Jan 25, 2024
  • ED-HNN Public

    [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

    Python 31 MIT 4 0 0 Updated Jan 6, 2024
  • GAD-EBM Public

    [NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models

    Jupyter Notebook 2 0 0 0 Updated Nov 17, 2023

Top languages

Loading…

Most used topics

Loading…