DeepGraphLearning / LiteratureDL4Graph

Related projects ⓘ

Alternatives and complementary repositories for LiteratureDL4Graph

• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,758Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,815Updated this week
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,214Updated 10 months ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,387Updated 8 months ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,362Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,526Updated 4 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,525Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,595Updated 3 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,246Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,230Updated 5 months ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,142Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆758Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,428Updated 3 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,945Updated 9 months ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,552Updated last month
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,146Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,237Updated 2 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,042Updated 11 months ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,950Updated 7 months ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,187Updated 3 years ago
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆910Updated 6 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆916Updated last year
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,200Updated 4 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆787Updated 2 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,686Updated last year
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,687Updated 10 months ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆872Updated 5 years ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,372Updated 9 months ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,334Updated 8 months ago