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Marcel Nassar

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MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

Sep 12, 2023
Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret

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The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science

Oct 31, 2022
Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings

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Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design

Apr 01, 2022
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanović

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Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs

Dec 18, 2021
Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar

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Implicit SVD for Graph Representation Learning

Nov 11, 2021
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan

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On Local Aggregation in Heterophilic Graphs

Jun 06, 2021
Hesham Mostafa, Marcel Nassar, Somdeb Majumdar

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Structured Citation Trend Prediction Using Graph Neural Networks

Apr 06, 2021
Daniel Cummings, Marcel Nassar

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Permutohedral-GCN: Graph Convolutional Networks with Global Attention

Mar 02, 2020
Hesham Mostafa, Marcel Nassar

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Hierarchical Bipartite Graph Convolution Networks

Dec 13, 2018
Marcel Nassar

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Conditional Graph Neural Processes: A Functional Autoencoder Approach

Dec 13, 2018
Marcel Nassar, Xin Wang, Evren Tumer

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