most citedMVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2025

FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning

Ankur Samanta, Rohan Gupta, Aditi Misra +2

Molecular representation learning methods typically tokenize molecules as individual atoms or use rigid, rule-based fragment decompositions, limiting their ability to capture meani…

cs.LG2023★ 2 cited

MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes

Ankur Samanta, Mark Karlov, Meghna Ravikumar +3

Deep learning provides an excellent avenue for optimizing diagnosis and patient monitoring for clinical-based applications, which can critically enhance the response time to the on…