【KDD 2020】 HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collec
背景挑戰 Collective classification [9, 25] aiming to collectively categorize the inter-connected entities in networked data, plays an important role in the various in-depth analysis tasks [3, 23, 31], suc
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相關文章
- 1. 【KDD 2019】Heterogeneous Graph Neural Network
- 2. 【KDD 2020】 Grale: Designing Networks for Graph Learning
- 3. 論文筆記：KDD 2019 Heterogeneous Graph Neural Network
- 4. STGCN:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecastin
- 5. Deep Learning Model--CNN
- 6. 《Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting》
- 7. Deep Graph-Convolutional Image Denoising
- 8. big code: Toward Deep Learning Software Repositories [MSR 2015]
- 9. Wide & Deep Learning Model
- 10. 論文筆記（一）Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach