21 citations · 50 across the 17 of their papers we have counts for
6 papers · 1 filter
Gauge-invariant renormalization of fermion bilinears and energy-momentum tensor on the lattice
G. Spanoudes, M. Costa, I. Karpasitis +4
We study a gauge-invariant renormalization scheme (GIRS) for composite operators, regularized on the lattice, by extending the coordinate space (X-space) scheme proposed some years…
Perturbative study of the Gluino-Glue operator in SYM
Marios Costa, George Panagopoulos, Haralambos Panagopoulos +3
We investigate the renormalization of the Gluino-Glue operator, using both Lattice Perturbation Theory (LPT) and a Gauge Invariant Renormalization Scheme (GIRS). The latter scheme…
Maximizing Influence with Graph Neural Networks
George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis +1
Finding the seed set that maximizes the influence spread over a network is a well-known NP-hard problem. Though a greedy algorithm can provide near-optimal solutions, the subproble…
Can Author Collaboration Reveal Impact? The Case of h-index
Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon +1
Scientific impact has been the center of extended debate regarding its accuracy and reliability. From hiring committees in academic institutions to governmental agencies that distr…
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki, Paul Scherer, Yixuan He +8
We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing. The main goal of…
Gauge-invariant Renormalization of the Gluino-Glue operator
Marios Costa, George Panagopoulos, Haralambos Panagopoulos +1
We study the Gluino-Glue operator in the context of Supersymmetric Yang-Mills (SYM) theory. This composite operator is gauge invariant, and it is directly connected…