benedekrozemberczki / awesome-graph-classification

Related projects: ⓘ

• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,068Updated 3 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,344Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,081Updated last year
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,364Updated 6 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,582Updated 3 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,361Updated this week
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,742Updated last week
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,398Updated last month
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆15,871Updated 8 months ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,313Updated 6 months ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,667Updated last year
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,934Updated 5 months ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,524Updated 4 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,198Updated 8 months ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,146Updated 3 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,182Updated 2 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆20,956Updated this week
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,482Updated last year
• aditya-grover / node2vec
  ☆2,608Updated 2 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,670Updated 6 months ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,365Updated 7 months ago
• spro / practical-pytorch
  Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
  ☆4,519Updated 3 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,133Updated 2 months ago
• zihangdai / xlnet
  XLNet: Generalized Autoregressive Pretraining for Language Understanding
  ☆6,175Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,644Updated 4 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,683Updated 8 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,918Updated 7 months ago
• palash1992 / GEM
  ☆1,273Updated 10 months ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,333Updated 4 years ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,852Updated 2 weeks ago