Particle physics is a branch of science aiming at discovering the fundamental laws of matter
and forces. Graph neural networks are trainable functions which operate on graphs—sets of …

In high energy physics, graph-based implementations have the advantage of treating the
input data sets in a similar way as they are collected by collider experiments. To expand on …

Water-(Ice-) Cherenkov neutrino telescopes have played a pivotal role in the search and
discovery of high-energy astrophysical neutrinos. Experimental collaborations are …

Neutrino telescopes detect rare interactions of particles produced in some of the most
extreme environments in the Universe. This is accomplished by instrumenting a cubic …

Traditional electricity grids are currently undergoing a transformation towards distributed
generation, changing the state of the art operational processes for grid monitoring and …

The proof of a mathematical statement is a logical argument that establishes the statement's
truth [Ecc97]. A logical argument is formed by a sequence of implications starting from a set …

Neutrinos, matéria escura, e partículas neutras de longas vidas médias atravessam os
detetores despercebidos, carregando informação importante sobre as partículas pais e …

In item recommendation domain, the explainability and diversity of the recommendation has
been paid more and more attention by researchers, especially for some rewarding sensitive …