Joseph Gomes

According to our database, Joseph Gomes authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

Leveraging Deep Learning as a New Approach to Layer Detection and Cloud-Aerosol Classification Using ICESat-2 Atmospheric Data.

Bolaji Oladipo, Joseph Gomes, Matthew J. McGill, Patrick Selmer

Remote. Sens., July, 2024

2020

Evaluating and Validating Cluster Results.

Anupriya Vysala, Joseph Gomes

CoRR, 2020

Strategies for Pre-training Graph Neural Networks.

Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Pre-training Graph Neural Networks.

Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec

CoRR, 2019

2018

Deep Learning Phase Segregation.

Amir Barati Farimani, Joseph Gomes, Rishi Sharma, Franklin L. Lee, Vijay S. Pande

CoRR, 2018

2017

Deep Learning the Physics of Transport Phenomena.

Amir Barati Farimani, Joseph Gomes, Vijay S. Pande

CoRR, 2017

MoleculeNet: A Benchmark for Molecular Machine Learning.

Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay S. Pande

CoRR, 2017

Retrosynthetic reaction prediction using neural sequence-to-sequence models.

Bowen Liu, Bharath Ramsundar, Prasad Kawthekar, Jade Shi, Joseph Gomes, Quang Luu Nguyen, Stephen Ho, Jack Sloane, Paul Wender, Vijay S. Pande

CoRR, 2017

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity.

Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg, Vijay S. Pande

CoRR, 2017