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.
  ☆4,806Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,287Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,989Updated 2 months ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,417Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,525Updated 5 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,641Updated 2 years ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,620Updated 4 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,273Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,388Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,263Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆768Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,219Updated 8 months ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆930Updated 3 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,631Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,335Updated 2 years ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,416Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,055Updated 7 months ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,386Updated 5 years ago
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,026Updated 6 years ago
• palash1992 / GEM
  ☆1,285Updated 2 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,810Updated last year
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,703Updated last year
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,040Updated last year
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,531Updated 4 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,741Updated 2 years ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,260Updated 4 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,660Updated last year
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆919Updated 7 years ago
• Jiakui / awesome-gcn
  resources for graph convolutional networks （图卷积神经网络相关资源）
  ☆908Updated 6 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆846Updated 3 years ago