BUPT-GAMMA / OpenHGNN

Related projects ⓘ

Alternatives and complementary repositories for OpenHGNN

• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,089Updated 4 years ago
• BUPT-GAMMA / OpenHINE
  An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
  ☆319Updated last year
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆219Updated this week
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆630Updated last year
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆308Updated last year
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆425Updated last year
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆398Updated 4 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆898Updated 4 months ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆284Updated 4 months ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆390Updated 4 years ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆324Updated last year
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆436Updated 4 years ago
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆660Updated last month
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆269Updated 4 months ago
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆376Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆798Updated 11 months ago
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆555Updated 4 months ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆526Updated 2 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆526Updated 3 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,733Updated 9 months ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆253Updated 3 years ago
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆487Updated 3 months ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆788Updated last year
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,591Updated 9 months ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆497Updated 2 months ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆470Updated last year
• SpaceLearner / Awesome-DynamicGraphLearning
  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
  ☆586Updated 3 weeks ago
• FanzhenLiu / Awesome-Deep-Community-Detection
  Deep and conventional community detection related papers, implementations, datasets, and tools.
  ☆496Updated 10 months ago
• safe-graph / graph-adversarial-learning-literature
  A curated list of adversarial attacks and defenses papers on graph-structured data.
  ☆834Updated 11 months ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆312Updated 6 months ago