Hatem Helal

According to our database, Hatem Helal authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.

Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury

J. Chem. Inf. Model., March, 2024

MESS: Modern Electronic Structure Simulations.

Hatem Helal, Andrew W. Fitzgibbon

CoRR, 2024

Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory.

Alexander Mathiasen, Hatem Helal, Paul Balanca, Adam Krzywaniak, Ali Parviz, Frederik Hvilshøj, Blazej Banaszewski, Carlo Luschi, Andrew William Fitzgibbon

CoRR, 2024

2023

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction.

Dominic Masters, Josef Dean, Kerstin Kläser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini

Trans. Mach. Learn. Res., 2023

Generating QM1B with PySCF_IPU.

Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction.

Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Rampásek, Dominique Beaini

CoRR, 2022

Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry.

Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury

CoRR, 2022

Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators.

Jenna A. Bilbrey, Kristina M. Herman, Henry Sprueill, Sotiris S. Xantheas, Payel Das, Manuel Lopez Roldan, Mike Kraus, Hatem Helal, Sutanay Choudhury

CoRR, 2022

Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks.

Mario Michael Krell, Manuel Lopez Roldan, Sreenidhi Anand, Hatem Helal, Andrew William Fitzgibbon

CoRR, 2022