Alternatives and similar repositories for JanossyPooling:

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

• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆21Updated 5 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆103Updated 5 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆55Updated 3 years ago
• hhcho / hyplinear
  MATLAB implementation of linear support vector classification in hyperbolic space
  ☆20Updated 6 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆42Updated last year
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 4 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆86Updated 5 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆21Updated 4 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated last year
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆61Updated 4 years ago
• cvignac / SMP
  ☆27Updated 3 years ago
• kd383 / NetworkDOS
  Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
  ☆25Updated 5 years ago
• anonymous1025 / Deep-Graph-Translation-
  ☆16Updated 5 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated 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
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆31Updated 2 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago