69 citations · 94 across the 14 of their papers we have counts for
4 papers · 1 filter
Lifelong Learning for Neural powered Mixed Integer Programming
Sahil Manchanda, Sayan Ranu
Mixed Integer programs (MIPs) are typically solved by the Branch-and-Bound algorithm. Recently, Learning to imitate fast approximations of the expert strong branching heuristic has…
Unsupervised Graph Neural Network Reveals the Structure--Dynamics Correlation in Disordered Systems
Vaibhav Bihani, Sahil Manchanda, Sayan Ranu +1
Learning the structure--dynamics correlation in disordered systems is a long-standing problem. Here, we use unsupervised machine learning employing graph neural networks (GNN) to i…
On the Generalization of Neural Combinatorial Optimization Heuristics
Sahil Manchanda, Sofia Michel, Darko Drakulic +1
Neural Combinatorial Optimization approaches have recently leveraged the expressiveness and flexibility of deep neural networks to learn efficient heuristics for hard Combinatorial…
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur +1
There has been a recent surge in learning generative models for graphs. While impressive progress has been made on static graphs, work on generative modeling of temporal graphs is…