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06/06/2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs
Deep graph generative modeling has gained enormous attraction in recent ...
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06/06/2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Graph neural networks (GNNs), in general, are built on the assumption of...
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01/29/2023
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
Optimization of atomic structures presents a challenging problem, due to...
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08/24/2022
Lifelong Learning for Neural powered Mixed Integer Programming
Mixed Integer programs (MIPs) are typically solved by the Branch-and-Bou...
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06/01/2022
On the Generalization of Neural Combinatorial Optimization Heuristics
Neural Combinatorial Optimization approaches have recently leveraged the...
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03/07/2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
There has been a recent surge in learning generative models for graphs. ...
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01/10/2020
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems
The decision to rollout a vehicle is critical to fleet management compan...
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05/15/2017
