1 citations · 2 across the 3 of their papers we have counts for
3 papers
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
J Harry Caufield, Tim Putman, Kevin Schaper +23
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing,…
GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi +8
Graph Representation Learning (GRL) methods opened new avenues for addressing complex, real-world problems represented by graphs. However, many graphs used in these applications co…