Alternatives and similar repositories for pytorch-tutorial

Users that are interested in pytorch-tutorial 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…
  ☆141Updated 2 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• taishan1994 / pytorch_HAN
  异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
  ☆113Updated 2 years ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆143Updated 3 years ago
• ICT-GIMLab / SeHGNN
  ☆123Updated 2 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆96Updated 3 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated last year
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆241Updated 3 months ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆64Updated 2 years ago
• quqixun / GNN-Pytorch
  GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
  ☆96Updated 10 months ago
• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆245Updated 4 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆180Updated last year
• 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。
  ☆107Updated 6 months ago
• xkcd1838 / bench-DGNN
  ☆17Updated 4 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆453Updated 2 years ago
• sh-qiangchen / GNN-Theory-Papers
  This repository mainly lists some the latest research on graph neural network theory.
  ☆101Updated 2 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated 2 years ago
• ronghangzhu / CensNet
  ☆71Updated 3 years ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆223Updated last month
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆152Updated 8 months ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆334Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆64Updated 3 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 7 months ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆76Updated last year
• Tiger101010 / DAEGC
  PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
  ☆116Updated 4 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆119Updated 3 years ago
• jianxiangyu / MEOW
  ☆30Updated last year
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆106Updated 3 years ago
• Ffffffffire / HINormer
  ☆34Updated 2 years ago