output
19992026
most citedBenchmarking Graph Neural Networks

228 citations

135 papers

gr-qc2026

Emergence of Gravity's Dynamical and Topological Sectors from Pre-geometry

Andrea Addazi, Giuseppe Meluccio

We identify the complete set of fundamental building blocks for a 4D pre-geometric theory of gravity. Based on a gauge theory of or coupled to a Higgs-like fiel…

astro-ph.SR2026

VarWISE: Infrared Variability via NEOWISE Single Exposure Photometry

Matthew Paz, J. Davy Kirkpatrick, Rajiv Uttamchandani +2

The Near-Earth Object Wide-field Infrared Explorer (NEOWISE) mission provides a decade of all-sky time-series data at 3.4 and 4.6um and an unprecedented opportunity for the discove…

gr-qc2026

Uncertainty Principles and Maximum Entropic Force

Jonas Mureika, Elias C. Vagenas

We consider quantum gravity corrections to the maximum entropic force that arise from several gravitational uncertainty principles. These include the Generalized Uncertainty Princi…

gr-qc2026★ 1 cited

Combining the Generalized and Extended Uncertainty Principles

Bernard Carr, Jonas Mureika

The Generalized Uncertainty Principle (GUP) and Extended Uncertainty Principle (EUP) are modifications to the Heisenberg Uncertainly Principle (HUP), expected to apply as the energ…

cs.DC2026

Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling

Mohammadali Khodabandehlou, Jared Coleman, Niranjan Suri +1

Dynamic scheduling of task graphs is often addressed without revisiting prior task allocations, with a primary focus on minimizing makespan. We study controlled schedule preemption…

gr-qc2025

Newtonian Fractional-Dimension Gravity and the Mass-Dimension Field Equation

Gabriele U. Varieschi

We resume our analysis of Newtonian Fractional-Dimension Gravity (NFDG), an alternative gravitational model that does not require the dark matter (DM) paradigm. We add three more g…