Alternatives and similar repositories for awesome-graph-classification

Users that are interested in awesome-graph-classification are comparing it to the libraries listed below

• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,084Updated 4 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,410Updated last year
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,385Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,952Updated last month
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,021Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,612Updated 4 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,271Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,567Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,617Updated 2 years ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,397Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,300Updated 2 years ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 5 years ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,380Updated last year
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,034Updated 3 weeks ago
• palash1992 / GEM
  ☆1,286Updated last year
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,730Updated 2 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,711Updated 5 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,534Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,265Updated 2 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,246Updated last year
• aditya-grover / node2vec
  ☆2,684Updated 3 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,025Updated 3 months ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,333Updated 4 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,256Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,403Updated 3 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,816Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,210Updated 4 months ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆924Updated 2 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆924Updated 2 years ago