Deep learning resilience inference for complex networked systems

Research article (Nature Communications, 2024) · cited 33× · AI/ML
CreativeWork academia

Facts

5 properties
Publication date
October 24, 2024as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Nature Communicationsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Deep learning resilience inference for complex networked systemsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 3
OpenAlex ID
W4403718772as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1038/S41467-024-53303-4as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
PubMed publication ID
39448566as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
← Author of 3
Press Enter · cited answer in seconds

Summary

Deep learning resilience inference for complex networked systems is a scholarly article[1].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Deep learning resilience inference for complex networked systems. Retrieved October 20, 2026, from https://4ort.xyz/entity/deep-learning-resilience-inference-for-complex-networked-systems
MLA “Deep learning resilience inference for complex networked systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/deep-learning-resilience-inference-for-complex-networked-systems.
BibTeX @misc{4ortxyz_deep-learning-resilience-inference-for-complex-networked-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning resilience inference for complex networked systems}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-resilience-inference-for-complex-networked-systems}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning resilience inference for complex networked systems — https://4ort.xyz/entity/deep-learning-resilience-inference-for-complex-networked-systems (retrieved 2026-10-20)

Canonical URL: https://4ort.xyz/entity/deep-learning-resilience-inference-for-complex-networked-systems · Last refreshed: