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8 hours ago · A Greedy choice for this problem is to pick the nearest unvisited city from the current city at every step. These solutions don't always produce the best ...
13 hours ago · In this work, we will first utilize such a system to encode for subset sum problems, thereby serving as a foundational step towards extending our approach to ...
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3 days ago · The existence of a universal function approximator or function representation is not particularly unique to neural networks.
4 days ago · Proof that Clique Decision problem is NP-Complete · Proof that Independent Set ... The time complexity of Insertion Sort can be written as Ω(n), but it is not ...
5 days ago · We prove that the ECM problem is NP-hard and propose a novel worker recruitment method combined with the dual-embedding and Rainbow Deep Q-network (DQN) ...
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2 days ago · A quantum computer is a computer that exploits quantum mechanical phenomena. On small scales, physical matter exhibits properties of both particles and ...
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6 days ago · The NYU Center for Data Science is a focal point for New York University's university-wide initiative in data science and statistics.
2 days ago · The maximum clique problem is NP-hard for many well-known intersection graph classes such as intersection graph of rays [11] , grounded strings [29] , triangles ...
L2XGNN: learning to explain graph neural networks - SpringerLink
link.springer.com › Machine Learning
5 days ago · Graph Neural Networks (GNNs) are a popular class of machine learning models. Inspired by the learning to explain (L2X) paradigm, we propose L2xGnn, a frame.
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6 days ago · In our work ... It is a classical, strongly NP-hard problem that is proven to be useful in RNA transcript assembly and applications outside of Bioinformatics.
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