Alternatives and similar repositories for CGMM:

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

• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• 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
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 4 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆104Updated 5 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆45Updated 5 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 4 years ago
• Hanjun-Dai / steady_state_embedding
  Learning Steady-States of Iterative Algorithms over Graphs
  ☆40Updated 6 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 5 years ago
• mitmul / chainer-nri
  Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer
  ☆33Updated 6 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆52Updated 5 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 3 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• cshjin / gnn_in_neurips_2019
  A comprehensive collection of GNN works in NeurIPS 2019.
  ☆21Updated 5 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆102Updated 2 years ago
• KelestZ / CondGen
  Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
  ☆54Updated 5 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆21Updated 5 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆55Updated 3 years ago
• guillaumejaume / edGNN
  Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"
  ☆42Updated last year
• locuslab / sdp_clustering
  ☆12Updated 4 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 9 months ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 4 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆24Updated 5 years ago
• rctzeng / NeurIPS2020-SCG
  The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)
  ☆15Updated 3 years ago