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    • galileo

      Public
      Galileo library for large scale graph training by JD
      Python
      Apache License 2.0
      33000Updated Dec 22, 2021Dec 22, 2021
    • GRecX

      Public
      An Efficient and Unified Benchmark for GNN-based Recommendation.
      Python
      GNU General Public License v3.0
      11000Updated Nov 24, 2021Nov 24, 2021
    • Training GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
      Jupyter Notebook
      MIT License
      6000Updated Aug 11, 2021Aug 11, 2021
    • Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
      Python
      GNU General Public License v3.0
      92000Updated Aug 9, 2021Aug 9, 2021
    • Spectral clustering for image segmentation and graph partition.
      Jupyter Notebook
      Creative Commons Zero v1.0 Universal
      1000Updated Aug 6, 2021Aug 6, 2021
    • DIG

      Public
      A library for graph deep learning research
      Python
      GNU General Public License v3.0
      283000Updated Aug 6, 2021Aug 6, 2021
    • Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.
      Python
      MIT License
      7000Updated Aug 4, 2021Aug 4, 2021
    • Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
      Python
      MIT License
      139000Updated Jul 27, 2021Jul 27, 2021
    • lsbm

      Public
      Latent structure blockmodels for Bayesian spectral graph clustering
      Python
      MIT License
      1000Updated Jul 19, 2021Jul 19, 2021
    • Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (ESANN '21) https://arxiv.org/abs/2105.09448
      Python
      MIT License
      3000Updated Jul 11, 2021Jul 11, 2021
    • daunet

      Public
      DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation
      Python
      2000Updated Jul 4, 2021Jul 4, 2021
    • BSD-GCN

      Public
      The tensorflow code of the paper"Dual-Graph Convolutional Network Based on Band Attention and Sparse Constraint for Hyperspectral Band Selection"
      Python
      2000Updated Jul 1, 2021Jul 1, 2021
    • GC-SAN

      Public
      An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.
      Python
      16000Updated Jul 1, 2021Jul 1, 2021
    • Implementation of spatial-distance-based clustering techniques to perform image compression and spectral clustering to build groups based on graph/connectivity.
      Jupyter Notebook
      0000Updated Jun 29, 2021Jun 29, 2021
    • Spectral graph clustering of a dataset of mushrooms
      MATLAB
      1000Updated Jun 23, 2021Jun 23, 2021
    • DAGCN

      Public
      Dual Attention Graph Convolutional Network
      Python
      MIT License
      22000Updated Jun 10, 2021Jun 10, 2021
    • Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
      Python
      MIT License
      49000Updated Jun 8, 2021Jun 8, 2021
    • Graph clustering project using Markov clustering algorithm, K-medoid algorithm, Spectral algorithm with GUI PyQt5
      Python
      1000Updated Jun 5, 2021Jun 5, 2021
    • Spectral Clustering with Graph Neural Networks for Graph Pooling
      Python
      MIT License
      1000Updated Jun 2, 2021Jun 2, 2021
    • GAT-MNIST

      Public
      GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
      Jupyter Notebook
      3000Updated May 21, 2021May 21, 2021
    • TensorFlow implementations of Graph Neural Networks
      Python
      MIT License
      226000Updated Apr 9, 2021Apr 9, 2021
    • TransGAN

      Public
      [Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
      Python
      202000Updated Feb 16, 2021Feb 16, 2021
    • My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
      Jupyter Notebook
      MIT License
      336000Updated Feb 12, 2021Feb 12, 2021
    • GCATSL

      Public
      Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers
      Python
      MIT License
      2000Updated Feb 9, 2021Feb 9, 2021
    • GraphGym

      Public
      Platform for designing and evaluating Graph Neural Networks (GNN)
      Jupyter Notebook
      Other
      188000Updated Feb 7, 2021Feb 7, 2021
    • ogb

      Public
      Benchmark datasets, data loaders, and evaluators for graph machine learning
      Python
      MIT License
      403000Updated Feb 2, 2021Feb 2, 2021
    • Collection of resources related with Graph Contrastive Learning.
      GNU General Public License v3.0
      5000Updated Feb 2, 2021Feb 2, 2021
    • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
      Python
      MIT License
      30000Updated Jan 27, 2021Jan 27, 2021
    • Graph Signal Processing and Spectral Clustering
      Python
      1000Updated Jan 24, 2021Jan 24, 2021
    • cugraph

      Public
      cuGraph - RAPIDS Graph Analytics Library
      Jupyter Notebook
      Apache License 2.0
      312000Updated Jan 21, 2021Jan 21, 2021