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iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
Summary
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease is a scholarly article[1].
Key Facts
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/iherd-an-integrative-hierarchical-graph-representation-learning-framework-to-quantify-network-changes-and-prioritize-ris
MLA“iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/iherd-an-integrative-hierarchical-graph-representation-learning-framework-to-quantify-network-changes-and-prioritize-ris.
BibTeX@misc{4ortxyz_iherd-an-integrative-hierarchical-graph-representation-learning-framework-to-quantify-network-changes-and-prioritize-ris_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease}}, year = {2026}, url = {https://4ort.xyz/entity/iherd-an-integrative-hierarchical-graph-representation-learning-framework-to-quantify-network-changes-and-prioritize-ris}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease — https://4ort.xyz/entity/iherd-an-integrative-hierarchical-graph-representation-learning-framework-to-quantify-network-changes-and-prioritize-ris (retrieved 2026-05-24)
