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20232026
most citedA Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning

2 citations · 2 across the 6 of their papers we have counts for

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cs.LG2026

Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport

Md Sadek Hossain Asif, Tanzila Khan, Md. Mosaddek Khan

We introduce Temporal Sheaf Neural Networks (TSNN), a temporal link prediction framework that equips each node with a time-varying orthogonal frame and compares node states only af…

cs.LG2023★ 2 cited

A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning

Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

Quadratic Unconstrained Binary Optimization (QUBO) is a generic technique to model various NP-hard Combinatorial Optimization problems (CO) in the form of binary variables. Ising H…