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08/30/2021
An Interpretable Web-based Glioblastoma Multiforme Prognosis Prediction Tool using Random Forest Model
We propose predictive models that estimate GBM patients' health status o...
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06/22/2021
Continuous-Depth Neural Models for Dynamic Graph Prediction
We introduce the framework of continuous-depth graph neural networks (GN...
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06/06/2021
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
We propose ScheduleNet, a RL-based real-time scheduler, that can solve v...
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06/03/2021
Convergent Graph Solvers
We propose the convergent graph solver (CGS), a deep learning method tha...
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06/02/2021
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
We propose a framework to learn to schedule a job-shop problem (JSSP) us...
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06/02/2021
A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group
We propose a Molecular Hypergraph Convolutional Network (MolHGCN) that p...
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11/18/2019