Alternatives and similar repositories for NRLPapers

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

• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,699Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,610Updated 4 years ago
• palash1992 / GEM
  ☆1,287Updated last year
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,734Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,252Updated last year
• aditya-grover / node2vec
  ☆2,676Updated 2 years ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,050Updated 11 months ago
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,900Updated last year
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,531Updated 3 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,811Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,535Updated 10 months ago
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,411Updated 2 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆531Updated 3 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,083Updated 4 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆813Updated 5 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,413Updated last year
• alibaba / graph-learn
  An Industrial Graph Neural Network Framework
  ☆1,309Updated 11 months ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,783Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,790Updated 2 years ago
• talorwu / Graph-Neural-Network-Review
  ☆437Updated 6 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,261Updated last year
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆504Updated 4 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆525Updated 4 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,691Updated 5 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,373Updated 3 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 3 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆766Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆817Updated 2 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,272Updated 2 years ago