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GRAPE for Fast and Scalable Graph Processing and random walk-based
  Embedding
v1v2v3 (latest)

GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding

Nature Computational Science (Nat. Comput. Sci.), 2021
12 October 2021
L. Cappelletti
Tommaso Fontana
E. Casiraghi
V. Ravanmehr
Tiffany J. Callahan
Carlos Cano
marcin p. joachimiak
Christopher J. Mungall
Peter N. Robinson
Justin P Reese
Giorgio Valentini
ArXiv (abs)PDFHTML

Papers citing "GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding"

5 / 5 papers shown
Title
Unsupervised Optimisation of GNNs for Node Clustering
Unsupervised Optimisation of GNNs for Node Clustering
Will Leeney
Ryan McConville
165
0
0
12 Feb 2024
RNA-KG: An ontology-based knowledge graph for representing interactions
  involving RNA molecules
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA moleculesScientific Data (Sci Data), 2023
Emanuele Cavalleri
Alberto Cabri
Mauricio Soto Gomez
Sara Bonfitto
P. Perlasca
...
Justin P Reese
Peter N. Robinson
E. Casiraghi
Giorgio Valentini
M. Mesiti
147
2
0
30 Nov 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation
  Learning
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
E. Lee
Joyce C. Ho
164
2
0
04 May 2023
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
KG-Hub -- Building and Exchanging Biological Knowledge GraphsBioinformatics (Bioinformatics), 2023
J. H. Caufield
Timothy Putman
Kevin Schaper
Deepak R. Unni
Harshad B. Hegde
...
M. Haendel
Peter N. Robinson
marcin p. joachimiak
Christopher J. Mungall
Justin P Reese
169
25
0
31 Jan 2023
Het-node2vec: second order random walk sampling for heterogeneous
  multigraphs embedding
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
Giorgio Valentini
E. Casiraghi
L. Cappelletti
Tommaso Fontana
Justin P Reese
Peter N. Robinson
69
8
0
05 Jan 2021
1