Alternatives and similar repositories for Graph-Neural-Network-Papers

Users that are interested in Graph-Neural-Network-Papers are comparing it to the libraries listed below

• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆139Updated 2 years ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆142Updated 3 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆133Updated 3 years ago
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆116Updated 4 years ago
• theodoriss / gcn-demo
  Semi-Supervised classification with Graph Convolution Networks using Pytorch
  ☆52Updated 4 years ago
• LiuChuang0059 / Graph_Neural_Network_Learning
  图神经网络(图卷积网络) 个人学习总结
  ☆121Updated 2 years ago
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆112Updated 2 years ago
• zyx423 / Graph-Embeddding
  Reimplementation of Graph Embedding methods by Pytorch.
  ☆174Updated 3 years ago
• rexrex9 / gnn
  gnn还附带一个kgcn
  ☆108Updated 3 years ago
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆68Updated 2 years ago
• mmg63 / Hypergraph-Convolution-and-Attention-networks
  Hypergraph convolution and attention networks research
  ☆14Updated last year
• lmy1997 / tuxiaoshi
  ☆236Updated 11 months ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆176Updated last year
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 10 months ago
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆101Updated 2 years ago
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆94Updated 8 months ago
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆248Updated 5 years ago
• j1o2h3n / GCN_PyTorch
  pytorch实现GCN代码的中文注释
  ☆37Updated 5 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated last year
• joeat1 / GNN_note
  图神经网络整理
  ☆584Updated 4 years ago
• SDU-CIRLab / Graph-neural-network-papers
  主要针对图神经网络论文收集整理
  ☆36Updated 5 years ago
• jiangnanboy / gnn4lp
  gnn for link prediction，图神经网络用于链接预测。
  ☆47Updated 3 years ago
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 2 years ago
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆105Updated 10 months ago
• zhulei227 / GNN_Notes
  图神经网络(GNN)学习笔记
  ☆74Updated 4 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆93Updated 3 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆118Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• yule-BUAA / LEGNN
  codes of LEGNN for Semi-supervised Node Classification
  ☆12Updated 3 years ago
• PHD-lanyu / GTC
  ☆38Updated last year