- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1758-2946
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Compressed graph representation for scalable molecular graph generation ; volume:12 ; number:1 ; day:23 ; month:9 ; year:2020 ; pages:1-8 ; date:12.2020
Journal of cheminformatics ; 12, Heft 1 (23.9.2020), 1-8, 12.2020
- Creator
-
Kwon, Youngchun
Lee, Dongseon
Choi, Youn-Suk
Shin, Kyoham
Kang, Seokho
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13321-020-00463-2
- URN
-
urn:nbn:de:101:1-2020111121042927505962
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kwon, Youngchun
- Lee, Dongseon
- Choi, Youn-Suk
- Shin, Kyoham
- Kang, Seokho
- SpringerLink (Online service)
Other Objects (12)
Scalable generation of random graphs
GPU-based Graph Traversal on Compressed Graphs
Scalable graph kernels
Scalable graph partitioning for distributed graph processing
Simplitigs as an efficient and scalable representation of de Bruijn graphs
Real time scalable graph analytics
Enriched entity representation of knowledge graph for text generation
PocketGraph: graph representation of binding site volumes
A representation of a compressed de Bruijn graph for pan-genome analysis that enables search
Note on standard representation of graphs and graph derivations
Structural Graph Clustering: Scalable Methods and Applications for Graph Classification and Regression
GRADOOP: Scalable Graph Analytics with Apache Flink
Scalable generation of random graphs
GPU-based Graph Traversal on Compressed Graphs
Scalable graph kernels
Scalable graph partitioning for distributed graph processing
Simplitigs as an efficient and scalable representation of de Bruijn graphs
Real time scalable graph analytics
Enriched entity representation of knowledge graph for text generation
PocketGraph: graph representation of binding site volumes
A representation of a compressed de Bruijn graph for pan-genome analysis that enables search
Note on standard representation of graphs and graph derivations
Structural Graph Clustering: Scalable Methods and Applications for Graph Classification and Regression
GRADOOP: Scalable Graph Analytics with Apache Flink
Scalable generation of random graphs
GPU-based Graph Traversal on Compressed Graphs
Scalable graph kernels
Scalable graph partitioning for distributed graph processing
Simplitigs as an efficient and scalable representation of de Bruijn graphs
Real time scalable graph analytics
Enriched entity representation of knowledge graph for text generation
PocketGraph: graph representation of binding site volumes
A representation of a compressed de Bruijn graph for pan-genome analysis that enables search
Note on standard representation of graphs and graph derivations
Structural Graph Clustering: Scalable Methods and Applications for Graph Classification and Regression