【論文閱讀·1】EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties
有不合理的地方還請大家指出批評！剛開始學graph generation~本文主要介紹EvoGraph方法，至於Kronecker和GSCALER將在其他博客中介紹 任務：graph upscaling 關鍵詞：graph generation、edge attachment、hashing technology、preserving graph properties 摘要 本篇文章介紹了一種基於
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相關文章
- 1. Recurrent Knowledge Graph Embedding for Effective Recommendation
- 2. 論文閱讀：Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
- 3. 交通論文閱讀：Graph WaveNet for Deep Spatial-Temporal Graph Modeling
- 4. 【論文閱讀】Graphicionado:A High-Performance and Energy-Efficient Accelerator for Graph Analytics
- 5. 【論文筆記】Query Preserving Graph Compression
- 6. 論文筆記：Asymmetric Transitivity Preserving Graph Embedding
- 7. 論文學習1-DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
- 8. 論文閱讀總結(Text Level Graph Neural Network for Text Classification)
- 9. 文獻閱讀（六）KDD2016-Asymmetric Transitivity Preserving Graph Embedding
- 10. 論文解讀：Graph Convolutional Networks for Text Classifification