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GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics
Graph data mining is an active research area. Graphs are general modeling tools to organize information from heterogeneous sources and have been applied in many scientific, engineering, and business fields. With the fast accumulation of graph data, building highly accurate predictive models for grap...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3058227/ https://ncbi.nlm.nih.gov/pubmed/20431140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2009.80 |
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