microsoft / tf-gnn-samples

Related projects ⓘ

Alternatives and complementary repositories for tf-gnn-samples

• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆369Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,142Updated last year
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,187Updated 3 years ago
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 2 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆998Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,246Updated last year
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆787Updated 2 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆497Updated 2 months ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆502Updated 3 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆832Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,527Updated last year
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆797Updated 11 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,429Updated 3 months ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,214Updated 10 months ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,239Updated 2 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 3 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆789Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆758Updated last year
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆971Updated last year
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆475Updated 4 years ago
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆979Updated last year
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆448Updated 5 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆401Updated 4 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,945Updated 9 months ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,339Updated 4 years ago
• RexYing / diffpool
  ☆479Updated 3 years ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,727Updated last year
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆520Updated 3 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆629Updated last year