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GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs
Research article (Briefings in Bioinformatics, 2022) · cited 36× · AI/ML
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs
Summary
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs is a scholarly article[1].
Key Facts
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs'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). GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs. Retrieved May 24, 2026, from https://4ort.xyz/entity/graphcda-a-hybrid-graph-representation-learning-framework-based-on-gcn-and-gat-for-predicting-disease-associated-circrna
MLA“GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graphcda-a-hybrid-graph-representation-learning-framework-based-on-gcn-and-gat-for-predicting-disease-associated-circrna.
BibTeX@misc{4ortxyz_graphcda-a-hybrid-graph-representation-learning-framework-based-on-gcn-and-gat-for-predicting-disease-associated-circrna_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs}}, year = {2026}, url = {https://4ort.xyz/entity/graphcda-a-hybrid-graph-representation-learning-framework-based-on-gcn-and-gat-for-predicting-disease-associated-circrna}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAs — https://4ort.xyz/entity/graphcda-a-hybrid-graph-representation-learning-framework-based-on-gcn-and-gat-for-predicting-disease-associated-circrna (retrieved 2026-05-24)
