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). Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/hi-geomvp-a-hierarchical-geometry-enhanced-deep-learning-model-for-drug-response-prediction
MLA“Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hi-geomvp-a-hierarchical-geometry-enhanced-deep-learning-model-for-drug-response-prediction.
BibTeX@misc{4ortxyz_hi-geomvp-a-hierarchical-geometry-enhanced-deep-learning-model-for-drug-response-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction}}, year = {2026}, url = {https://4ort.xyz/entity/hi-geomvp-a-hierarchical-geometry-enhanced-deep-learning-model-for-drug-response-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction — https://4ort.xyz/entity/hi-geomvp-a-hierarchical-geometry-enhanced-deep-learning-model-for-drug-response-prediction (retrieved 2026-05-24)
