Carlo Vittorio Cannistraci

29 papers A* 4Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Artificial Intelligence for Complex Network: Potential, Methodology and Application. WWW (Companion Volume) Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi
2025	J	`jnl`	Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected. CoRR Yingtao Zhang, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci
2025	J	`jnl`	Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks. CoRR Yuan Hua, Jilin Zhang, Yingtao Zhang, Wenqi Gu, Leyi You, Baobo Xiong, Carlo Vittorio Cannistraci, Hong Chen
2025	A*	`conf`	Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models. ICML Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci
2025	J	`jnl`	Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models. CoRR Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci
2025	A*	`conf`	Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. ICML Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci
2024	A*	`conf`	Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning. ICLR Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci
2024	A*	`conf`	Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
2024	J	`jnl`	Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. CoRR Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci
2022	J	`jnl`	Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms. IEEE Access Aldo Acevedo, Claudio Durán, Ming-Ju Kuo, Sara Ciucci, Michael Schroeder, Carlo Vittorio Cannistraci
2021	J	`jnl`	Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. IEEE ACM Trans. Comput. Biol. Bioinform. Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci
2021	J	`jnl`	Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks. Appl. Netw. Sci. Claudio Durán, Alessandro Muscoloni, Carlo Vittorio Cannistraci
2020	J	`jnl`	Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. CoRR Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci
2020	J	`jnl`	Geometrical congruence and efficient greedy navigability of complex networks. CoRR Carlo Vittorio Cannistraci, Alessandro Muscoloni
2019	J	`jnl`	Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2019	J	`jnl`	Navigability evaluation of complex networks by greedy routing efficiency. CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2018	J	`jnl`	Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks. CoRR Carlo Vittorio Cannistraci, Alessandro Muscoloni
2018	J	`jnl`	Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space. CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2018	J	`jnl`	Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. Briefings Bioinform. Claudio Durán, Simone Daminelli, Josephine Maria Thomas, V. Joachim Haupt, Michael Schroeder, Carlo Vittorio Cannistraci
2017	J	`jnl`	A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities. CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2017	J	`jnl`	Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain? Appl. Netw. Sci. Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella, Carlo Vittorio Cannistraci
2017	J	`jnl`	Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction. CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2017	J	`jnl`	Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club? CoRR Alessandro Muscoloni, Carlo Vittorio Cannistraci
2017	J	`jnl`	Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
2016	J	`jnl`	Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space. CoRR Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci, Ginestra Bianconi, Carlo Vittorio Cannistraci
2015	J	`jnl`	Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks. CoRR Simone Daminelli, Josephine Maria Thomas, Claudio Durán, Carlo Vittorio Cannistraci
2013	J	`jnl`	Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. Bioinform. Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi
2013	—	`conf`	Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues. 3DUI Marcin Rogowski, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Philip P. Weber, Timothy Ravasi, Jürgen P. Schulze, Daniel Acevedo Feliz
2010	J	`jnl`	Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes. Bioinform. Carlo Vittorio Cannistraci, Timothy Ravasi, Franco Maria Montevecchi, Trey Ideker, Massimo Alessio