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). GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Retrieved May 24, 2026, from https://4ort.xyz/entity/gte-a-graph-learning-framework-for-prediction-of-t-cell-receptors-and-epitopes-binding-specificity
MLA“GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gte-a-graph-learning-framework-for-prediction-of-t-cell-receptors-and-epitopes-binding-specificity.
BibTeX@misc{4ortxyz_gte-a-graph-learning-framework-for-prediction-of-t-cell-receptors-and-epitopes-binding-specificity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity}}, year = {2026}, url = {https://4ort.xyz/entity/gte-a-graph-learning-framework-for-prediction-of-t-cell-receptors-and-epitopes-binding-specificity}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity — https://4ort.xyz/entity/gte-a-graph-learning-framework-for-prediction-of-t-cell-receptors-and-epitopes-binding-specificity (retrieved 2026-05-24)