Inductive Matrix Completion Based on Graph Neural Networks
参考文献 Inductive Matrix Completion Based on Graph Neural Networks - ICLR 2020 〇、相关工作 1、Graph Neural Network 图神经网络(GNNs)是一种用于在图形上学习的新型神经网络。主要分为两种类型：Node Level GNNs和Graph Level GNNs。Nodelevel GNNs使用消息传递层在
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相关文章
- 1. Graph Convolutional Matrix Completion
- 2. Paper Notes: A Comprehensive Survey on Graph Neural Networks
- 3. Graph-based Dependency Parsing with Graph Neural Networks
- 4. 论文笔记：Graph Convolutional Matrix Completion
- 5. GraphSAINT: Graph Sampling Based Inductive Learning Method
- 6. CS224W-08-Graph Neural Networks
- 7. GNN:Session-based Recommendation with Graph Neural Networks简介
- 8. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 9. Applications of Graph Neural Networks
- 10. 【论文笔记】Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks