Alternatives and similar repositories for AutoGL:

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

• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,769Updated last year
• chaitjo / efficient-gnns
  Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
  ☆531Updated 2 years ago
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks
  ☆468Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,995Updated 4 months ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,949Updated 9 months ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆556Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,250Updated 10 months ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,220Updated 9 months ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,788Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,580Updated last year
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 3 years ago
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,530Updated 2 years ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,297Updated last year
• shobrook / communities
  Library of graph clustering algorithms
  ☆748Updated last year
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆799Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,251Updated last year
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆302Updated 2 years ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆293Updated 9 months ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆827Updated last year
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,216Updated 3 years ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,042Updated 10 months ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆393Updated 10 months ago
• benedekrozemberczki / datasets
  A repository of pretty cool datasets that I collected for network science and machine learning research.
  ☆629Updated last year
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆372Updated last year
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆483Updated 2 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆813Updated 2 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,254Updated 2 years ago
• alibaba / graph-learn
  An Industrial Graph Neural Network Framework
  ☆1,304Updated 9 months ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,001Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆492Updated 8 months ago