Corrections to “M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification”. April 2021; IEEE Transactions on Network Science and Engineering ...
Apr 3, 2021 · To improve this, we introduce data augmentation on graphs (i.e. graph augmentation) and present four methods: random mapping, vertex-similarity ...
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M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. Zhou, J., Shen, J., Yu, S., Chen, G. & Xuan, Q., Jan 2021, In: IEEE ...
M-Evolve : Structural-Mapping-Based Data Augmentation for Graph Classification · 2021 · Published. Corrections to “M-Evolve: Structural-MappingBased Data ...
Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification" · Subgraph Augmentation with Application to Graph Mining.
Readers: Everyone. Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification" · pdf icon · hmtl icon · Jiajun Zhou, Jie Shen ...
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification, in CIKM 2020 [pdf] and IEEE TNSE 2021. [pdf]. Edge-level tasks. Knowledge Graph ...
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Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". IEEE Trans. Netw. Sci. Eng. 8(2): 1974 (2021). [c3]. view.
Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". IEEE Trans. Netw. Sci. Eng. 8(2): 1974 (2021). [j36]. view.
May 5, 2024 · However, these methods may lead to semantic changes ... , et al. M-evolve: structural-mapping-based data augmentation for graph classification.
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