palash1992 / GEM

Related projects ⓘ

Alternatives and complementary repositories for GEM

• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,687Updated 10 months ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,686Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆382Updated last year
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,045Updated 4 months ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆996Updated 4 years ago
• palash1992 / DynamicGEM
  ☆345Updated 4 years ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,236Updated 3 months ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,526Updated 4 years ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,595Updated 3 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 3 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,428Updated 3 months ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,230Updated 5 months ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆519Updated 3 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,647Updated 4 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆793Updated 5 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆889Updated 4 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆599Updated 3 weeks ago
• lucashu1 / link-prediction
  Representation learning for link prediction within social networks
  ☆343Updated 6 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 3 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆526Updated 2 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆904Updated 2 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
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆529Updated 4 years ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,339Updated 4 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆788Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,089Updated 4 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆883Updated 2 months ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆474Updated 4 years ago
• MichSchli / RelationPrediction
  Implementation of R-GCNs for Relational Link Prediction
  ☆443Updated last year
• sungyongs / graph-based-nn
  Graph Convolutional Networks (GCNs)
  ☆910Updated 6 years ago