Alternatives and similar repositories for GNN-Tutorial

Users that are interested in GNN-Tutorial are comparing it to the libraries listed below

• lmy1997 / tuxiaoshi
  ☆236Updated 11 months ago
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆101Updated 2 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
• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆242Updated 4 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆133Updated 3 years ago
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆94Updated 8 months ago
• 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
• LiuChuang0059 / Graph_Neural_Network_Learning
  图神经网络(图卷积网络) 个人学习总结
  ☆122Updated 2 years ago
• gkm0120 / Graph-Neural-Network-Papers
  图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。
  ☆100Updated 4 months ago
• aianaconda / pytorch-GNN-1st
  ☆84Updated 4 years ago
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆287Updated 7 months ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆214Updated 3 months ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆142Updated 3 years ago
• XiaobinHong / LAD-GNN
  The source code of LAD-GNN.
  ☆18Updated last year
• joeat1 / GNN_note
  图神经网络整理
  ☆585Updated 4 years ago
• OuYangg / GNNs
  This is a repository used to preserve codes about GNNs.
  ☆27Updated 3 years ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆241Updated last month
• fry325 / GCN_GAT_reproduce
  reproduce two famous GNN model, GCN and GAT
  ☆25Updated 4 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated last year
• PHD-lanyu / GTC
  ☆39Updated last year
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆148Updated 6 months ago
• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆50Updated 10 months ago
• jamesYu365 / EGAT
  a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
  ☆46Updated 2 years ago
• ki-ljl / GNNs-for-Link-Prediction
  Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…
  ☆65Updated 2 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
• jiangnanboy / gnn4lp
  gnn for link prediction，图神经网络用于链接预测。
  ☆47Updated 3 years ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆60Updated 9 months ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆102Updated 4 years ago
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆773Updated 3 weeks ago