Alternatives and similar repositories for ProvablyPowerfulGraphNetworks_torch:

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

• hadarser / ProvablyPowerfulGraphNetworks
  ☆16Updated 4 years ago
• mlelarge / graph_neural_net
  Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
  ☆39Updated last year
• lsj2408 / GraphNorm
  [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)
  ☆104Updated 2 years ago
• sailab-code / gnn
  Graph Neural Network
  ☆43Updated 3 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆81Updated 5 months ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆103Updated 5 years ago
• cvignac / SMP
  ☆26Updated 3 years ago
• xbresson / CE7454_2020
  Deep learning course CE7454, 2020
  ☆29Updated 4 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 5 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated last year
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆16Updated 4 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 2 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆54Updated 3 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 3 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• idea-iitd / graphgen
  GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
  ☆51Updated last year
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆22Updated 5 years ago
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆83Updated 5 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆60Updated 3 years ago