Alternatives and similar repositories for gnn-tutorial

Users that are interested in gnn-tutorial are comparing it to the libraries listed below

• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆76Updated 6 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• praxidike97 / GraphNeuralNet
  A simple Graph Net in PyTorch
  ☆24Updated 5 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆89Updated 4 years ago
• maxwass / pyGSL
  A Graph Structure Learning (GSL) Toolkit
  ☆36Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated last year
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆49Updated 3 months ago
• buddhikaum / Greedy-Sensor-Selection-for-a-Probabilistic-Graph-Signal
  Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on C…
  ☆8Updated 7 years ago
• bwilder0 / clusternet
  Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
  ☆91Updated 5 years ago
• flyingtango / DiGCN
  Implement of DiGCN, NeurIPS-2020
  ☆47Updated 4 years ago
• balcilar / Graph_Signal_Processing
  Signal Processing on non-euclidien domain signals
  ☆29Updated 6 years ago
• JunwenBai / correlation-gnn
  Correlated Graph Neural Networks
  ☆27Updated 5 years ago
• alelab-upenn / graph-neural-networks
  Library to implement graph neural networks in PyTorch
  ☆264Updated 11 months ago
• sw-gong / GNN-Tutorial
  Graph Neural Network Tutorial
  ☆189Updated 5 years ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• SunQingYun1996 / Graph-Reinforcement-Learning-Papers
  A curated list of graph reinforcement learning papers.
  ☆71Updated 3 years ago
• senadkurtisi / pytorch-GCN
  PyTorch implementation of the Graph Convolutional Network by Kipf et al.
  ☆27Updated 4 years ago
• satrialoka / gnn-from-scratch
  Graph neural network implementation using numpy
  ☆40Updated 6 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆78Updated 5 years ago
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated 2 years ago
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆160Updated 5 years ago
• pyg-team / pyg-lib
  Low-Level Graph Neural Network Operators for PyG
  ☆200Updated last week
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆95Updated last month
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆271Updated 2 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆65Updated 6 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 3 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆78Updated 5 years ago