Alternatives and similar repositories for ogb

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

• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,587Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,800Updated last year
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,217Updated 3 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆957Updated 9 months ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,014Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,195Updated 2 months ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,361Updated 3 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆834Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,027Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆556Updated last year
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆967Updated 3 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,520Updated 9 months ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,678Updated last year
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,258Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,687Updated 5 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,776Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,252Updated 11 months ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆641Updated 2 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆945Updated 10 months ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• RexYing / diffpool
  ☆491Updated 4 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,140Updated 5 years ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆670Updated 2 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆843Updated 3 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆650Updated last year
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,057Updated last year
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,035Updated last year
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆919Updated 2 years ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆485Updated 2 years ago