Anomaly-resistant Graph Neural Networks via Neural Architecture Search

no code implementations • 22 Nov 2021 • M. Park

In general, Graph Neural Networks(GNN) have been using a message passing method to aggregate and summarize information about neighbors to express their information.

Neural Architecture Search

Les Houches 2017: Physics at TeV Colliders New Physics Working Group Report

no code implementations • 28 Mar 2018 • G. Brooijmans, M. Dolan, S. Gori, F. Maltoni, M. McCullough, P. Musella, L. Perrozzi, P. Richardson, F. Riva, A. Angelescu, S. Banerjee, D. Barducci, G. Bélanger, B. Bhattacherjee, M. Borsato, A. Buckley, J. M. Butterworth, G. Cacciapaglia, H. Cai, A. Carvalho, A. Chakraborty, G. Cottin, A. Deandrea, J. de Blas, N. Desai, M. Endo, N. Ezroura, G. Facini, S. Fichet, L. Finco, T. Flacke, B. Fuks, P. Gardner, S. Gascon-Shotkin, A. Goudelis, P. Gras, D. Grellscheid, R. Gröber, D. Guadagnoli, U. Haisch, J. Harz, J. Heisig, B. Herrmann, J. Hewett, T. Hryn'ova, J. F. Kamenik, S. Kraml, U. Laa, K. Lane, A. Lessa, S. Liebler, K. Lohwasser, D. M. Lombardo, D. Majumder, A. Malinauskas, O. Mattelaer, K. Mimasu, G. Moreau, M. Mühlleitner, A. E. Nelson, J. M. No, M. M. Nojiri, P. Pani, L. Panizzi, M. Park, G. Polesello, W. Porod, L. Pritchett, H. B. Prosper, A. Pukhov, J. Quevillon, T. Rizzo, P. Roloff, H. Rzehak, S. Sekmen, D. Sengupta, M. Spira, C. Vernieri, D. G. E. Walker, D. Yallup, B. Zaldivar, S. Zhang, J. Zurita

We present the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 5--23 June, 2017).

High Energy Physics - Phenomenology