Alternatives and similar repositories for gnn

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

• hadarser / ProvablyPowerfulGraphNetworks_torch
  ☆39Updated 5 years ago
• lsj2408 / GraphNorm
  [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)
  ☆107Updated 2 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆50Updated 6 years ago
• hadarser / ProvablyPowerfulGraphNetworks
  ☆16Updated 5 years ago
• anguyen8 / sam
  Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"
  ☆27Updated 2 years ago
• xbresson / CE7454_2020
  Deep learning course CE7454, 2020
  ☆28Updated 5 years ago
• FrancescoSaverioZuppichini / PytorchModuleStorage
  A easy to use API to store outputs from forward/backward hooks in Pytorch
  ☆36Updated 6 years ago
• facebookresearch / GraphLog
  API for accessing the GraphLog dataset
  ☆90Updated last year
• MadryLab / cox
  A lightweight experimental logging library
  ☆52Updated last year
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆80Updated 6 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• dwromero / att_gconvs
  Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…
  ☆53Updated 5 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• mlelarge / graph_neural_net
  Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
  ☆40Updated 2 years ago
• chirag-agarwall / VOG
  Estimating Example Difficulty using Variance of Gradients
  ☆64Updated 2 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated 2 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 5 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆104Updated 3 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆77Updated 3 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆105Updated 5 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆182Updated 5 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 6 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆87Updated 6 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆53Updated 5 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago