Alternatives and similar repositories for LiteratureDL4Graph:

Users that are interested in LiteratureDL4Graph are comparing it to the libraries listed below

• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,781Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,876Updated 2 months ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,238Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 4 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,229Updated last year
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,555Updated last year
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,397Updated 11 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,475Updated 6 months ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,373Updated 2 years ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,602Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,247Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,241Updated 8 months ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,213Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆759Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,292Updated 2 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,972Updated 2 months ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,247Updated 4 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,692Updated last year
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆2,973Updated last year
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆918Updated 2 years ago
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,698Updated last week
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,161Updated last year
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,706Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,374Updated last year
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,347Updated 4 years ago
• palash1992 / GEM
  ☆1,283Updated last year
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,204Updated 3 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,972Updated 10 months ago
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,536Updated 3 years ago