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Research milestones

News & updates

Recent publications, new preprints, public releases, and career updates.

Oct 2026

EDiS is available on arXiv: edge-disjoint subgraph decomposition for sparse GNN training. ↗

Sep 2026

Scaffold is available on arXiv, with a public implementation of support-graph sparsification. ↗

Sep 2026

Two works on joint hardware/software partitioning and scheduling accepted at HPEC 2026. ↗

Aug 2026

SGS-GNN published in the KDD 2026 proceedings. ↗

Aug 2026

New preprint: Unifying Graph Neural Networks Through a Common Layer Equation. ↗

2025

ATT&CK to CVE published in ICDM Workshops / GTA³. ↗

Aug 2025

NEPATEC v2.0 report and public document corpus released. ↗

May 2025

Joined Pacific Northwest National Laboratory as a Postdoctoral Researcher after completing my Ph.D. at Purdue. ↗

2024

AGS-GNN published at ACM SIGKDD. ↗

2022

Best Paper Award at IEEE HST for vulnerability-to-attack-pattern mapping. ↗

2021

V2W-BERT received the DSAA Best Application Paper Award. ↗

Siddhartha Shankar Das

Graph learning · Scientific AI · Systems

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© 2026 Siddhartha Shankar DasUpdated October 2026 · Personal academic website