331 citations · 334 across the 9 of their papers we have counts for
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cs.AI2021★ 331 cited
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
Junyoung Park, Jaehyeong Chun, Sang Hun Kim +2
We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL). We formulate the scheduling process of JSS…
cs.CE2021★ 2 cited
A Molecular Hyper-message Passing Network with Functional Group Information
Fangying Chen, Junyoung Park, Jinkyoo Park
We proposed the molecular hyper-message passing network (MolHMPN) that predicts the properties of a molecule with prior knowledge-guided subgraph. Modeling higher-order connectivit…