Alternatives and similar repositories for Awesome-Graph-Embedding

Users that are interested in Awesome-Graph-Embedding are comparing it to the libraries listed below

• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆92Updated 7 years ago
• xptree / NetMF
  Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
  ☆186Updated 5 years ago
• cszhangzhen / ANRL
  ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
  ☆87Updated 2 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated 2 years ago
• HongyangGao / LGCN
  Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
  ☆47Updated 7 years ago
• jennyzhang0215 / STAR-GCN
  STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
  ☆111Updated 5 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆114Updated 4 years ago
• GentleZhu / HEER
  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
  ☆65Updated 6 years ago
• ysyushi / aspem
  Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
  ☆26Updated 7 years ago
• andompesta / ComE
  Implementation of ComE algorithm
  ☆59Updated 3 years ago
• CrickWu / GCMC
  Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
  ☆54Updated 6 years ago
• xhuang31 / LANE
  Label Informed Attributed Network Embedding, WSDM 2017
  ☆37Updated 6 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 8 years ago
• snash4 / GAT2VEC
  embedding attributed graphs
  ☆57Updated 3 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 5 years ago
• HKUST-KnowComp / MNE
  Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
  ☆76Updated 5 years ago
• qitianwu / DANSER-WWW-19
  ☆83Updated 6 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• xptree / NetSMF
  NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
  ☆132Updated 3 years ago
• luckiezhou / DynamicTriad
  Dynamic Network Embedding by Modeling Triadic Closure Process
  ☆141Updated 6 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago
• shun1024 / weighted-deepwalk
  weighted random walk implementation for deepwalk (in python)
  ☆85Updated 4 years ago
• HKUST-KnowComp / Social-Explorative-Attention-Networks
  ☆14Updated 3 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• guyulongcs / Awesome-Embedding
  Paper list for Network Embedding, Knowledge Base Embedding, Graph Neural Networks
  ☆21Updated 5 years ago
• rootlu / MetaHIN
  Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
  ☆126Updated 2 years ago
• siyongxu / GNUD
  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
  ☆61Updated 4 years ago
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆56Updated 4 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆142Updated 7 years ago