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HGGT: Heterogeneous Gated Graph Transformer for Predicting Clinical Trial Success

2026-07-01

Abstract excerpt

Clinical trials are critical milestones in the drug development pipeline, yet their high failure rates and substantial costs underscore the need for robust predictive models. This study introduces a Heterogeneous Gated Graph Transformer (HGGT) model tailored to predict clinical trial success. Unlike existing methods that typically model trial-related entities in isolation or with homogeneous graphs, HGGT explicitl...

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Literature Corpus work
1d81148f-eab6-5dd5-817b-7de393fa6aff
DOI
10.64898/2026.06.28.26356795
Open publication

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HGGT: Heterogeneous Gated Graph Transformer for Predicting Clinical Trial SuccessDOI 10.64898/2026.06.28.26356795
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