statistiche ricercatore

Continente	#
NA - Nord America	705
AS - Asia	603
EU - Europa	487
SA - Sud America	106
Continente sconosciuto - Info sul continente non disponibili	49
AF - Africa	33
OC - Oceania	3
Totale	1.986

Nazione	#
US - Stati Uniti d'America	676
IT - Italia	231
SG - Singapore	166
CN - Cina	155
HK - Hong Kong	114
BR - Brasile	85
SE - Svezia	71
VN - Vietnam	67
DE - Germania	46
FR - Francia	30
FI - Finlandia	21
CA - Canada	19
GB - Regno Unito	18
IN - India	15
JP - Giappone	15
RU - Federazione Russa	15
CI - Costa d'Avorio	14
KR - Corea	14
BG - Bulgaria	13
BD - Bangladesh	10
TW - Taiwan	9
NL - Olanda	8
AR - Argentina	7
AT - Austria	7
SN - Senegal	6
TR - Turchia	6
EE - Estonia	5
ID - Indonesia	5
BE - Belgio	4
CO - Colombia	4
ES - Italia	4
IQ - Iraq	4
MA - Marocco	4
AU - Australia	3
CH - Svizzera	3
EC - Ecuador	3
KG - Kirghizistan	3
UZ - Uzbekistan	3
ZA - Sudafrica	3
BB - Barbados	2
CZ - Repubblica Ceca	2
IE - Irlanda	2
MO - Macao, regione amministrativa speciale della Cina	2
MX - Messico	2
MY - Malesia	2
PA - Panama	2
PE - Perù	2
PH - Filippine	2
PK - Pakistan	2
PL - Polonia	2
PY - Paraguay	2
SA - Arabia Saudita	2
SY - Repubblica araba siriana	2
UA - Ucraina	2
VE - Venezuela	2
AE - Emirati Arabi Uniti	1
AL - Albania	1
AM - Armenia	1
AO - Angola	1
CL - Cile	1
DO - Repubblica Dominicana	1
EG - Egitto	1
GR - Grecia	1
GT - Guatemala	1
HN - Honduras	1
IL - Israele	1
KZ - Kazakistan	1
MR - Mauritania	1
NA - Namibia	1
NG - Nigeria	1
NP - Nepal	1
PR - Porto Rico	1
SK - Slovacchia (Repubblica Slovacca)	1
TN - Tunisia	1
Totale	1.937

Nome	#
A Fair Comparison of Graph Neural Networks for Graph Classification	296
A gentle introduction to deep learning for graphs	199
Contextual graph markov model: A deep and generative approach to graph processing	159
The Infinite Contextual Graph Markov Model	146
Graph Mixture Density Networks	139
Hidden Markov Models for Temporal Graph Representation Learning	122
Complex Data: Learning Trustworthily, Automatically, and with Guarantees	118
A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins	109
Modeling Edge Features with Deep Bayesian Graph Networks	104
Graph Representation Learning	94
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets	93
Theoretically Expressive and Edge-aware GraphLearning	92
Probabilistic learning on graphs via contextual architectures	89
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview	81
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark	78
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs	67
Totale	1.986

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	127	0	0	4	0	23	8	14	4	31	5	16	22
2022/2023	169	29	20	12	2	2	11	3	18	43	2	23	4
2023/2024	173	10	22	15	12	9	30	19	2	3	5	24	22
2024/2025	625	17	19	34	30	54	69	93	36	48	63	77	85
2025/2026	696	81	90	79	91	82	45	66	39	41	43	26	13
2026/2027	93	31	30	32	0	0	0	0	0	0	0	0	0
Totale													1.986

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