Alternatives and similar repositories for GNN-Theory-Papers:

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

• lmy1997 / tuxiaoshi
  ☆224Updated 6 months ago
• XiaShan1227 / GNN-Tutorial
  B站GNN教程资料
  ☆146Updated 7 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…
  ☆134Updated last year
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆66Updated last year
• PHD-lanyu / GTC
  ☆29Updated 7 months ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆124Updated 3 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆36Updated last year
• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆237Updated 3 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆101Updated 4 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆110Updated 9 months ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆141Updated 2 years ago
• martinwhl / T-GCN-PyTorch
  A PyTorch implementation of T-GCN
  ☆62Updated 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…
  ☆61Updated last year
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 5 months ago
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated last year
• JasonZhangzy1757 / Heterogeneous-Graph-Attention-Network-HAN-PyTorch
  ☆20Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆68Updated 9 months ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆55Updated 11 months ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆56Updated last year
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆90Updated 3 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆132Updated last month
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆187Updated last week
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆161Updated 2 years ago
• LiuChuang0059 / Graph_Neural_Network_Learning
  图神经网络(图卷积网络) 个人学习总结
  ☆114Updated 2 years ago
• yokifly / ASTTN_pytorch
  ☆38Updated 2 years ago
• SmallNana / STSGCN_Pytorch
  ☆77Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆109Updated 3 years ago
• YushengZhao / DyHSL
  [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
  ☆15Updated 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。
  ☆94Updated last year