Alternatives and similar repositories for graph2vec

Users that are interested in graph2vec are comparing it to the libraries listed below

• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆553Updated 9 months ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,281Updated last year
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆157Updated 7 years ago
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆394Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• palash1992 / GEM
  ☆1,283Updated last year
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,248Updated last year
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆627Updated 2 months ago
• microsoft / tf-gnn-samples
  TensorFlow implementations of Graph Neural Networks
  ☆927Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,259Updated last year
• palash1992 / DynamicGEM
  ☆352Updated 5 years ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆803Updated 2 years ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆798Updated 2 years ago
• benedekrozemberczki / littleballoffur
  Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
  ☆712Updated last year
• benedekrozemberczki / APPNP
  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
  ☆370Updated 2 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆818Updated 6 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,711Updated 5 years ago
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆375Updated 2 years ago
• lucashu1 / link-prediction
  Representation learning for link prediction within social networks
  ☆352Updated 7 years ago
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆401Updated last year
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,005Updated last year
• Tiiiger / SGC
  official implementation for the paper "Simplifying Graph Convolutional Networks"
  ☆845Updated 3 years ago
• benedekrozemberczki / GEMSEC
  The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
  ☆259Updated 2 years ago
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 3 weeks ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆292Updated 3 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆491Updated 4 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,026Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,033Updated 5 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆325Updated 2 years ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆867Updated last year