Star-gcn: Stacked and reconstructed graph convolutional networks for recommender systems
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
[PDF][PDF] STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - atailab.cn
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
STAR-GCN: stacked and reconstructed graph convolutional networks for recommender systems
J Zhang, X Shi, S Zhao, I King - … of the 28th International Joint Conference …, 2019 - dl.acm.org
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
[PDF][PDF] STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - researchgate.net
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - … of the Twenty-Eighth International Joint …, 2019 - cir.nii.ac.jp
抄録< jats: p> We propose a new STAcked and Reconstructed Graph Convolutional
Networks (STAR-GCN) architecture to learn node representations for boosting the …
Networks (STAR-GCN) architecture to learn node representations for boosting the …
[PDF][PDF] STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - ijcai.org
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - IJCAI International Joint …, 2019 - repository.ust.hk
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …
[PDF][PDF] STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
J Zhang, X Shi, S Zhao, I King - researchgate.net
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-
GCN) architecture to learn node representations for boosting the performance in …
GCN) architecture to learn node representations for boosting the performance in …