seongjunyun / Graph_Transformer_Networks

Related projects ⓘ

Alternatives and complementary repositories for Graph_Transformer_Networks

• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆653Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆798Updated 11 months ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆972Updated last year
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆891Updated 3 years ago
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆487Updated 3 months ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆630Updated last year
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆470Updated last year
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆630Updated 2 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆601Updated 3 months ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,089Updated 4 years ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆555Updated 4 months ago
• RexYing / diffpool
  ☆479Updated 3 years ago
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆691Updated 2 years ago
• zfjsail / gae-pytorch
  Graph Auto-Encoder in PyTorch
  ☆417Updated 8 months ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆996Updated 4 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆883Updated 2 months ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆832Updated 2 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,591Updated 9 months ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,142Updated last year
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆365Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆387Updated 3 years ago
• chennnM / GCNII
  PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
  ☆330Updated 4 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆341Updated 2 years ago
• malllabiisc / CompGCN
  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
  ☆597Updated 3 months ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,187Updated 3 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆526Updated 3 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…
  ☆475Updated 2 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆448Updated 5 years ago
• jwzhanggy / Graph-Bert
  Source code of Graph-Bert
  ☆482Updated last year
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆696Updated 2 years ago