Alternatives and similar repositories for ClusterGCN

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

• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,035Updated 5 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆845Updated 3 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆526Updated 4 years ago
• RexYing / diffpool
  ☆498Updated 4 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆491Updated 4 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆654Updated 2 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆934Updated 5 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆473Updated 2 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆665Updated 2 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆804Updated 2 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆484Updated 6 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆768Updated 2 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆818Updated 6 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,214Updated 6 months ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆335Updated 5 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆497Updated 3 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,249Updated 4 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆356Updated 5 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆873Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆836Updated 2 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,173Updated 5 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆444Updated 5 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆537Updated 5 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,270Updated 2 years ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆372Updated last year
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated 10 months ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆504Updated 4 years ago