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Massimiliano Lupo Pasini — most-cited papers & profile · Graph Learning
← authors
·
overview
Massimiliano Lupo Pasini
12
papers ·
0
citations ·
9
h-index
Oak Ridge National Laboratory
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models
2026
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
2026
Exascale Multi-Task Graph Foundation Models for Imbalanced, Multi-Fidelity Atomistic Data
2026
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
2025
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
2025
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
2022
A deep learning approach to solve forward differential problems on graphs
2022
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN
2024
Top co-authors
Jong Youl Choi
· 5
Kshitij Mehta
· 3
Pei Zhang
· 3
Ashwin M. Aji
· 2
Jorda Polo
· 2
Karl W. Schulz
· 2
Alessio Barboni
· 1
and Prasanna Balaprakash
· 1
Andrew Blanchard
· 1
Arindam Chowdhury
· 1
Benajmin Stump
· 1
Bishal Lakha
· 1
Topics
cs.LG
cs.AI
cond-mat.mtrl-sci
physics.comp-ph
cs.DC
physics.chem-ph
math.OC