Alternatives and similar repositories for GraphLearning

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

• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆86Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆39Updated 4 years ago
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆76Updated 2 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆68Updated 3 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆134Updated 5 years ago
• FilippoMB / Benchmark_dataset_for_graph_classification
  Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆50Updated 8 months ago
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆162Updated 6 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• nd7141 / bgnn
  ☆173Updated last year
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆44Updated 5 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆43Updated 2 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆124Updated 3 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 5 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆276Updated 8 months ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆151Updated 3 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated 2 years ago
• Zymrael / gde
  Neural Graph Differential Equations (Neural GDEs)
  ☆209Updated 4 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 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
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆79Updated 5 years ago
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆90Updated 5 years ago
• maxiaoba / GRAPE
  ☆144Updated 4 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• CODE-SUBMIT / Graph_Neighborhood_1
  First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning
  ☆20Updated 2 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆63Updated 4 years ago