Alternatives and similar repositories for tuxiaoshi:

Users that are interested in tuxiaoshi are comparing it to the libraries listed below

• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆96Updated last year
• XiaShan1227 / GNN-Tutorial
  B站GNN教程资料
  ☆127Updated 5 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…
  ☆132Updated last year
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆120Updated 3 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。
  ☆93Updated 11 months ago
• ki-ljl / PyG-GCN
  PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…
  ☆64Updated last year
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆140Updated 2 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆95Updated 3 years ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆117Updated last month
• doujiang-zheng / Graph-Learning-Reading-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆175Updated 4 months ago
• XiaobinHong / LAD-GNN
  The source code of LAD-GNN.
  ☆15Updated 9 months 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…
  ☆56Updated last year
• PHD-lanyu / GTC
  ☆24Updated 5 months ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆153Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆113Updated 2 years ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆59Updated 4 months ago
• goaheand / AdapGL-pytorch
  ☆62Updated 3 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆78Updated 3 months ago
• OuYangg / GNNs
  This is a repository used to preserve codes about GNNs.
  ☆27Updated 2 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆36Updated last year
• LiuZH-19 / Ada-STNet
  ☆42Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆105Updated 3 years ago
• zyx423 / Graph-Embeddding
  Reimplementation of Graph Embedding methods by Pytorch.
  ☆169Updated 2 years ago
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆89Updated last month
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆229Updated 2 weeks ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆86Updated 2 years ago
• XiaShan1227 / Graphormer
  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
  ☆38Updated 3 months ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆65Updated 7 months ago
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆225Updated last year
• yokifly / ASTTN_pytorch
  ☆36Updated 2 years ago