LINKFND: SIMPLE FRAMEWORK FOR FALSE NEGATIVE DETECTION IN RECOMMENDATION TASKS WITH GRAPH CONTRASTIVE LEARNING

LinkFND: Simple Framework for False Negative Detection in Recommendation Tasks With Graph Contrastive Learning

Self-supervised learning has been shown to be effective in various fields, proving its usefulness in contrastive learning.Recently, graph contrastive learning has shown state-of-the-art performance in the recommendation task.They created two views and learned node embeddings so that Pants target nodes in the two views attract each other based on th

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JT gravity at finite cutoff

We compute the partition function of 2D Jackiw-Teitelboim (JT) gravity at finite cutoff in two ways: (i) via an exact evaluation of the Wheeler-DeWitt wavefunctional in radial quantization and (ii) through a direct computation of the Euclidean path integral.Both methods deal Leather with Dirichlet boundary conditions for the metric and the dilaton.

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Evaluation of Radiant Heat Transfer Influence on the Temperature Field of Fuel Element Microcell of Pressurized Water-Cooled Nuclear Reactor

Optimization of the core composition of the pressurized water reactors is associated with the calculation of Breast Feeding the temperature fields of heat exchange microcells containing separate fuel elements.Taking into account the radiation-conductive heat transfer inside the fuel element is based on the statement that the helium gap between the

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Development of Body Rotation Mechanism for Wheeled Robot to Enhance Trafficability and Overcome Mobility Limitation

A wheeled robot operating on various complex terrains Catch Can PCV with scattered obstacles and steep slopes must be capable of surmounting obstructions and coping with the extreme driving environment.This paper proposes a body rotation mechanism that controls the load distribution on the robot wheel for the robot to surmount rocky obstacles and s

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