Alternatives and similar repositories for OpenHGNN

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

• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆332Updated 2 years ago
• Cantoria / dynamic-graph-papers
  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
  ☆448Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,169Updated 5 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆950Updated last year
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆241Updated 2 months ago
• FanzhenLiu / Awesome-Deep-Community-Detection
  Deep and conventional community detection related papers, implementations, datasets, and tools.
  ☆539Updated last month
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,800Updated last year
• cynricfu / MAGNN
  Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
  ☆428Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆663Updated 2 years ago
• BUPT-GAMMA / OpenHINE
  An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
  ☆325Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆867Updated last year
• SXKDZ / awesome-self-supervised-learning-for-graphs
  A curated list for awesome self-supervised learning for graphs.
  ☆387Updated 2 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆412Updated 5 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆443Updated 5 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆298Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆339Updated last month
• Shen-Lab / GraphCL
  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…
  ☆605Updated last year
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆578Updated 3 years ago
• SpaceLearner / Awesome-DynamicGraphLearning
  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
  ☆678Updated 4 months ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆497Updated 3 years ago
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆779Updated last month
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆259Updated 4 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆330Updated last year
• JinheonBaek / RGCN
  Pytorch implementation of a RGCN Link Prediction Model
  ☆259Updated 4 years ago
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆755Updated 5 months ago
• THUDM / GCC
  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
  ☆328Updated 2 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆333Updated last year
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆507Updated 3 weeks ago
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆410Updated 4 months ago
• ICT-GIMLab / SeHGNN
  ☆118Updated last year