PyPI recent updates for ddDT-GFM https://pypi.org/project/dddt-gfm/ Recent updates to the Python Package Index for ddDT-GFM en 0.1.5 https://pypi.org/project/dddt-gfm/0.1.5/ Generalized graph foundation models as versatile data-driven digital twins for complex technological systems. Tue, 21 Jul 2026 23:10:13 GMT 0.1.4 https://pypi.org/project/dddt-gfm/0.1.4/ Generalized graph foundation models as versatile data-driven digital twins for complex technological systems. Sun, 19 Jul 2026 21:27:04 GMT 0.1.3 https://pypi.org/project/dddt-gfm/0.1.3/ Generalized graph foundation models as versatile data-driven digital twins for complex technological systems. Wed, 15 Jul 2026 20:55:44 GMT 0.1.2 https://pypi.org/project/dddt-gfm/0.1.2/ Data-driven Foundation Models for fleet-level system performance prediction using spatiotemporal graph neural networks. Wed, 15 Jul 2026 20:44:19 GMT 0.1.1 https://pypi.org/project/dddt-gfm/0.1.1/ Data-driven Foundation Models for fleet-level system performance prediction using spatiotemporal graph neural networks. Wed, 15 Jul 2026 20:39:22 GMT 0.1.0 https://pypi.org/project/dddt-gfm/0.1.0/ Data-driven Foundation Models for fleet-level system performance prediction using spatiotemporal graph neural networks. pawan.tripathi@case.edu, rxf131@case.edu Wed, 15 Jul 2026 20:24:30 GMT