Alternatives and similar repositories for graph-surgeon:

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

• Genentech / GraphGUIDE
  ☆12Updated 2 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆41Updated 3 years ago
• paridhimaheshwari2708 / GraphSSL
  Course Project for CS224W at Stanford
  ☆21Updated 3 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated 2 months ago
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆17Updated 8 months ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 2 weeks ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• mtang724 / NWR-GAE
  ☆38Updated 2 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last year
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆30Updated last year
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 2 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated 11 months ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆24Updated last year
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated last year
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated 11 months ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• TianXieUSC / GraphHop
  ☆19Updated 2 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆32Updated 3 years ago
• deezer / fastgae
  Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…
  ☆27Updated 2 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 3 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
• kaidic / GST
  ☆23Updated last year