Alternatives and similar repositories for AutoGL:

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

• chaitjo / efficient-gnns
  Code and resources on scalable and efficient Graph Neural Networks
  ☆528Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,754Updated 11 months ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,912Updated 6 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,964Updated last month
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
  ☆461Updated last year
• 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…
  ☆2,487Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆555Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,745Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,541Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,155Updated last year
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,238Updated 7 months ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆498Updated last week
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆917Updated 2 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆776Updated 2 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆791Updated 2 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆905Updated 4 months ago
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆502Updated 3 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,634Updated 11 months ago
• dmlc / GNNLens2
  Visualization tool for Graph Neural Networks
  ☆242Updated 2 years ago
• IBM / EvolveGCN
  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  ☆538Updated 3 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆758Updated last year
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,282Updated last year
• acbull / GPT-GNN
  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
  ☆491Updated 5 months ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,004Updated 7 months ago
• graph4ai / graph4nlp
  Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.…
  ☆1,681Updated 6 months ago
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆369Updated last year
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,708Updated 3 months ago
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆981Updated last year
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,190Updated 7 months ago