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Jiangkai Long

2 accepted papers

2026

PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction

AAAI 2026technical

Protein-Ligand Affinity (PLA) prediction quantifies the interaction strength to guide rational drug design. Existing approaches typically analyze interaction at a single granularity and overlook tightly coupled relationships between protein and ligand in both structure and functionality, consequentl

Cited by 0SourcePDFScholar
2026

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering

AAAI 2026technical

Spatial transcriptomics enables gene expression profiling with spatial context, offering unprecedented insights into the tissue microenvironment. However, most computational models treat genes as isolated numerical features, ignoring the rich biological semantics encoded in their symbols. This preve

Cited by 0SourcePDFScholar