Alternatives and similar repositories for -Note-Machine-Learning-with-Graph

Users that are interested in -Note-Machine-Learning-with-Graph are comparing it to the libraries listed below

• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆245Updated 4 years ago
• dglai / maxp_baseline_model
  ☆65Updated 4 years ago
• xinyi-code / Graph-Learning
  Graph model implementation
  ☆143Updated 3 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆299Updated last year
• Jhy1993 / Datasets-for-Heterogeneous-Graph
  Datasets-for-Heterogeneous-Graph
  ☆136Updated 6 years ago
• kepsail / ie-HGCN
  Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
  ☆107Updated last year
• DGraphXinye / 2022_finvcup_baseline
  ☆106Updated 3 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆83Updated 6 years ago
• Jhy1993 / Awesome-GNN-Recommendation
  Graph Neural Network
  ☆267Updated 4 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆455Updated 2 years ago
• Gkunnan97 / FastGCN_pytorch
  an implementation of FastGCN with pytorch
  ☆51Updated 5 years ago
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆338Updated 2 years ago
• AndyJZhao / HGSL
  Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks
  ☆119Updated 3 years ago
• km1994 / GCN_study
  GCN 入门学习教程
  ☆85Updated 3 years ago
• CRIPAC-DIG / GCA
  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
  ☆182Updated last year
• CYBruce / MAXP-DGL-solutions
  ☆21Updated 3 years ago
• SivilTaram / Graph-Neural-Network-Note
  A blog for understanding graph neural network
  ☆476Updated 5 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆338Updated last year
• zhumeiqiBUPT / AM-GCN
  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
  ☆252Updated 5 years ago
• taishan1994 / DGL_Chinese_Manual
  DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
  ☆77Updated 3 years ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆618Updated last year
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆243Updated 4 months ago
• kavehhassani / mvgrl
  ☆276Updated 3 years ago
• rootlu / DyHNE
  Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"
  ☆43Updated 5 years ago
• joeat1 / GNN_note
  图神经网络整理
  ☆595Updated 4 years ago
• yanghu819 / Graph-MLP
  ☆77Updated 4 years ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• BUPT-GAMMA / HeCo
  This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".
  ☆28Updated 3 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆333Updated 2 years 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…
  ☆141Updated 2 years ago