aditya-grover / node2vec

Related projects: ⓘ

• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,667Updated last year
• palash1992 / GEM
  ☆1,273Updated 10 months ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,683Updated 8 months ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,210Updated last month
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,398Updated last month
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,524Updated 4 years ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,038Updated 2 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,582Updated 3 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,216Updated 3 months ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,670Updated 6 months ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,364Updated 6 months ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,644Updated 4 years ago
• snap-stanford / snap
  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
  ☆2,170Updated 9 months ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆891Updated last year
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,892Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆988Updated 4 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,081Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,182Updated 2 years ago
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆382Updated last year
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,533Updated 3 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,934Updated 5 months ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆787Updated 5 years ago
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆791Updated 3 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,729Updated last year
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,254Updated 10 months ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆874Updated 4 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,918Updated 7 months ago
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,397Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆783Updated last year
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,133Updated 2 months ago