Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs
- DOI
- 10.1007/s13218-022-00781-7
- Published
- 2022-11-07
- Container
- KI - Künstliche Intelligenz
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s13218-022-00781-7,
title = {Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs},
author = {Bettina Finzel and Anna Saranti and Alessa Angerschmid and David Tafler and Bastian Pfeifer and Andreas Holzinger},
year = {2022},
journal = {KI - Künstliche Intelligenz},
doi = {10.1007/s13218-022-00781-7},
url = {https://doi.org/10.1007/s13218-022-00781-7}
}RIS
TY - JOUR TI - Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs AU - Bettina Finzel AU - Anna Saranti AU - Alessa Angerschmid AU - David Tafler AU - Bastian Pfeifer AU - Andreas Holzinger PY - 2022 JO - KI - Künstliche Intelligenz DO - 10.1007/s13218-022-00781-7 UR - https://doi.org/10.1007/s13218-022-00781-7 ER -
APA
Finzel, B., Saranti, A., Angerschmid, A., Tafler, D., Pfeifer, B., & Holzinger, A. (2022). Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. KI - Künstliche Intelligenz. https://doi.org/10.1007/s13218-022-00781-7
Source records
- crossref · retrieved 2026-11-11T02:02:04.739Z