투빅스 GNN 스터디
투빅스 GNN 스터디
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tobigsGNN
2021 투빅스 GNN 스터디
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  • 전체보기(18)
  • CS224W(18)
  • GNN(18)
  • machine learning with graph(2)
  • GCN(2)
  • Generative Model(1)
  • GAT(1)
  • deep learning on graph(1)
  • Motifs(1)
  • Outbreak Detection(1)
  • GAE(1)
  • Network Effects(1)
  • Graph(1)
  • Knowledge Graph(1)
  • Limitations of GNN(1)
  • properties of networks(1)
  • Cascading Behavior(1)
  • Collective Classification(1)
  • Belief Propagation(1)
  • subgraphs(1)
  • Community Structure in Networks(1)
  • Graph Representation Learning(1)
  • graph study(1)
  • Spectral Clustering(1)
  • network(1)
  • Roles(1)
  • PageRank(1)
  • torch-geometric(1)
  • random graph model(1)
  • contagion model(1)
  • Classification(1)
  • SIS model(1)
  • Iterative Classification(1)
  • graphlets(1)
  • Network Evolution(1)
  • SEIZ model(1)
  • Relational Classification(1)
전체보기 (18)CS224W(18)GNN(18)machine learning with graph(2)GCN(2)Generative Model(1)GAT(1)deep learning on graph(1)Motifs(1)Outbreak Detection(1)GAE(1)Network Effects(1)Graph(1)Knowledge Graph(1)Limitations of GNN(1)properties of networks(1)Cascading Behavior(1)Collective Classification(1)Belief Propagation(1)subgraphs(1)Community Structure in Networks(1)Graph Representation Learning(1)graph study(1)Spectral Clustering(1)network(1)Roles(1)PageRank(1)torch-geometric(1)random graph model(1)contagion model(1)Classification(1)SIS model(1)Iterative Classification(1)graphlets(1)Network Evolution(1)SEIZ model(1)Relational Classification(1)
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