Combining Sub-Symbolic and Symbolic Methods for Explainability

Himmelhuber, A; Grimm, S; Joblin, M; Zillner, S; Runkler, T

Himmelhuber, A (通讯作者),Tech Univ Munich, Siemens AG, Munich, Germany.

COMPENDIUM OF NEUROSYMBOLIC ARTIFICIAL INTELLIGENCE, 2023; 369 (): 559

Abstract

Many important real-world data sets come in the form of graphs or networks, including social networks, knowledge graphs, protein-interaction networks,......

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