Alternatives and similar repositories for Graph-Reading-Group

Users that are interested in Graph-Reading-Group are comparing it to the libraries listed below

• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆115Updated 4 years ago
• THUDM / OAG
  Source code and dataset for KDD 2019 paper "OAG: Toward Linking Large-scale Heterogeneous Entity Graphs"
  ☆60Updated 6 years ago
• xptree / NetSMF
  NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  ☆132Updated 3 years ago
• GentleZhu / HEER
  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
  ☆65Updated 6 years ago
• shangjingbo1226 / ESim
  ☆36Updated 7 years ago
• masakicktashiro / rgcn_pytorch_implementation
  ☆61Updated 5 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆143Updated 7 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆83Updated last year
• divelab / lgcn
  ☆137Updated 5 years ago
• williamleif / graphqembed
  Learning to query complex networks
  ☆117Updated last year
• nju-websoft / RSN
  Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
  ☆100Updated 6 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆120Updated 3 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆73Updated 5 years ago
• tadpole / AutoNE
  The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)
  ☆17Updated 2 years ago
• DeepGraphLearning / pLogicNet
  ☆146Updated 5 years ago
• siyongxu / GNUD
  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
  ☆61Updated 4 years ago
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• syxu828 / Crosslingula-KG-Matching
  This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"
  ☆110Updated 6 years ago
• THUDM / KDD-Industrial-Papers
  A list of recent industrial papers in KDD'16–'18
  ☆27Updated 6 years ago
• jennyzhang0215 / STAR-GCN
  STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
  ☆111Updated 5 years ago
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 6 years ago
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆162Updated 6 years ago
• qitianwu / DANSER-WWW-19
  ☆83Updated 6 years ago
• xptree / NetMF
  Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  ☆186Updated 5 years ago
• mnqu / PTE
  ☆96Updated 8 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated 2 years ago
• hyren / query2box
  Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings
  ☆209Updated 4 years ago
• chuxuzhang / WSDM2019_SHNE
  code of SHNE
  ☆16Updated 6 years ago
• afshinrahimi / geographconv
  Semi-supervised User Geolocation via Graph Convolutional Networks
  ☆67Updated 4 years ago