statistiche ricercatore

Nome	#
Distributed training of graph convolutional networks	67
Adaptive propagation graph convolutional network	51
Missing data imputation with adversarially-trained graph convolutional networks	47
Efficient data augmentation using graph imputation neural networks	45
Interpreting black-box models. A review on explainable artificial intelligence	43
ICML 2023 topological deep learning challenge. Design and results	37
Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning	35
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo	33
Machine Un-learning. An overview of techniques, applications, and future directions	26
A meta-learning approach for training explainable graph neural networks	25
Re-identification of objects from aerial photos with hybrid siamese neural networks	17
null	16
From latent graph to latent topology inference: differentiable cell complex module	14
Combining stochastic explainers and subgraph neural networks can increase expressivity and interpretability	13
Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks	12
Length-Aware Motion Synthesis via Latent Diffusion	8
Explainability in subgraphs-enhanced Graph Neural Networks	7
Totale	496

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	40	0	0	0	0	0	0	5	19	9	0	2	5
2021/2022	71	2	1	5	7	12	3	0	8	9	1	17	6
2022/2023	60	12	12	0	2	6	9	1	3	4	5	3	3
2023/2024	178	7	3	9	2	9	28	8	40	1	32	26	13
2024/2025	147	11	18	32	38	48	0	0	0	0	0	0	0
Totale													496

Catalogo dei prodotti della ricerca