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.
  ☆4,790Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,932Updated last month
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,265Updated last year
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,385Updated 2 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,413Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 4 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,598Updated 2 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,259Updated 2 years ago
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,452Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,251Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,610Updated 4 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,540Updated 10 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,010Updated last month
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,732Updated 2 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,279Updated 2 years ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆920Updated 2 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,320Updated 4 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,695Updated 5 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,700Updated last year
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,901Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,200Updated 3 months ago
• tensorflow / neural-structured-learning
  Training neural models with structured signals.
  ☆1,004Updated 5 months ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,381Updated 3 years ago
• palash1992 / GEM
  ☆1,287Updated last year
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,531Updated 3 years ago
• 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?
  ☆1,220Updated 4 years ago
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆842Updated 3 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆799Updated 2 years ago