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Author

Anirban Dasgupta

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#artificial intelligence Preprint Sep 2026

Controllable GNN Explanations via Multi-Metric Preference Selection

This work proposes a novel approach that optimizes GNN explanations across metrics, exposing their relative weighing as a control, and explores how, given an input motif library containing standard motifs for the corresponding domain, the method can be used to determine the relative importance of those motifs.

Rachit Verma, Yashraj Deshmukh, A. Dasgupta · 0 citations

'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning

SiST-GNN is introduced, which fuses the two signals inside a single message-passing operation rather than chaining them and is the leading learned method on five of six datasets in the live-update setting, improving on the strongest prior method by 1-158\% there.

Shubhajit Roy, A. Dasgupta · 0 citations

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