Alternatives and similar repositories for Graph-Attention-Networks

Users that are interested in Graph-Attention-Networks are comparing it to the libraries listed below

• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆46Updated 5 years ago
• dragen1860 / GCN-TF2
  Graph Convolution Network for TensorFlow 2 implementation.
  ☆50Updated 6 years ago
• shuowang-ai / graph-neural-network-pyg
  PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.
  ☆50Updated 6 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• ShinKyuY / Graph_Neural_Net
  Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
  ☆31Updated 5 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆122Updated last year
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆160Updated 5 years ago
• jwzhanggy / SEG-BERT
  Source code of "Segmented GRAPH-BERT Model"
  ☆24Updated 4 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆72Updated 4 years ago
• leilani-x / 2019-GraphNeuralNetworksPaperList
  Graph Neural Networks Paper List of 2019 Conferences
  ☆20Updated 6 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆118Updated 3 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• INK-USC / temporal-gcn-lstm
  Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
  ☆78Updated 3 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated 2 years ago
• zhao-tong / GNNs-easy-to-use
  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
  ☆62Updated 5 years ago
• chengsen / Awesome-Graph-Papers
  Collect papers about graph
  ☆76Updated 5 years ago
• NIRVANALAN / gcn_analysis
  GCNs Analysis: Visualization, Error Cases etc.
  ☆14Updated 2 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 5 years ago
• russchua / Graph-Isomorphism-Networks
  A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
  ☆55Updated 6 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 2 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• marblet / gat-pytorch
  pytorch implementation of Graph Attention Networks
  ☆16Updated 5 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆102Updated 4 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆105Updated last year
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆104Updated 3 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆80Updated 8 years ago
• zhouchunpong / GCN_Keras
  图卷积神经网络 Graph Convolutional Network with Keras
  ☆163Updated 2 years ago