Alternatives and similar repositories for graph-homomorphism-network

Users that are interested in graph-homomorphism-network are comparing it to the libraries listed below

• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• gasteigerjo / gtn
  Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…
  ☆15Updated 2 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• cvignac / SMP
  ☆30Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 4 years ago
• TRI-GNN / TRI-GNN
  ☆12Updated 3 years ago
• gasteigerjo / lcn
  Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …
  ☆19Updated 2 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 3 years ago
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆14Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated 2 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• HongtengXu / s-gwl
  Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
  ☆44Updated 6 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 5 years ago
• CharlotteMagister / GCExplainer
  ☆19Updated last year
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆22Updated last year
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆97Updated 3 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 4 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 5 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆35Updated 4 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 6 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago