TopicNeuroscience
knowledge graph
Content Overview
2Total items
1Seminar
1ePoster
Latest
SeminarNeuroscienceRecording
Spike-based embeddings for multi-relational graph data
Dominik Dold
European Space Research and Technology Centre
Nov 2, 2021
A rich data representation that finds wide application in industry and research is the so-called knowledge graph - a graph-based structure where entities are depicted as nodes and relations between them as edges. Complex systems like molecules, social networks and industrial factory systems can be described using the common language of knowledge graphs, allowing the usage of graph embedding algorithms to make context-aware predictions in these information-packed environments.
ePosterNeuroscience
A Practical Guide to Using the EBRAINS Knowledge Graph in (your) Research
Maaike M. Van Swieten, Oliver Schmid, Gilles Dénervaud, Ioannis Tsanaktsidis, Benjamin Weyers, Andrew P. Davison, Lyuba Zehl, Ida Aasebø, Jan G. Bjaalie
knowledge graph coverage
2 items
Seminar1
ePoster1
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