Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes. - Carlo Vittorio Cannistraci; Timothy Ravasi; Franco Maria Montevecchi; Trey Ideker; Massimo Alessio (Bioinform., 2010)

Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues. - Marcin Rogowski; Carlo Vittorio Cannistraci; Gregorio Alanis-Lobato; Philip P. Weber; Timothy Ravasi; Jürgen P. Schulze; Daniel Acevedo Feliz (3DUI, 2013)

Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. - Carlo Vittorio Cannistraci; Gregorio Alanis-Lobato; Timothy Ravasi (Bioinform., 2013)

A promoter-level mammalian expression atlas. - Fantom Consortium; RIKEN PMII; RIKEN CLST (DGT); Alistair R. R. Forrest; Hideya Kawaji; Michael Rehli; J. Kenneth Baillie; Michiel J. L. de Hoon; Vanja Haberle; Timo Lassmann; Ivan V. Kulakovskiy; Marina Lizio; et al. (Nat., 2014)

Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks. - Simone Daminelli; Josephine Maria Thomas; Claudio Durán; Carlo Vittorio Cannistraci (CoRR, 2015)

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space. - Josephine Maria Thomas; Alessandro Muscoloni; Sara Ciucci; Ginestra Bianconi; Carlo Vittorio Cannistraci (CoRR, 2016)

Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain? - Vaibhav Narula; Antonio Giuliano Zippo; Alessandro Muscoloni; Gabriele Eliseo M. Biella; Carlo Vittorio Cannistraci (Appl. Netw. Sci., 2017)

Rich-clubness test: how to determine whether a complex network has or doesn't have a rich-club? - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2017)

Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction. - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2017)

A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities. - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2017)

Semi-supervised community detection based on non-negative matrix factorization with node popularity. - Xiao Liu; Wenjun Wang 002; Dongxiao He; Pengfei Jiao; Di Jin 001; Carlo Vittorio Cannistraci (Inf. Sci., 2017)

Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory. - Claudio Durán; Simone Daminelli; Josephine Maria Thomas; V. Joachim Haupt; Michael Schroeder 001; Carlo Vittorio Cannistraci (Briefings Bioinform., 2018)

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space. - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2018)

Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks. - Carlo Vittorio Cannistraci; Alessandro Muscoloni (CoRR, 2018)

Navigability evaluation of complex networks by greedy routing efficiency. - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2019)

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. - Alessandro Muscoloni; Carlo Vittorio Cannistraci (CoRR, 2019)

Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity. - Claudio Durán; Aldo Acevedo; Sara Ciucci; Alessandro Muscoloni; Carlo V. Cannistraci (CoRR, 2019)

Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms. - Aldo Acevedo; Sara Ciucci; Ming-Ju Kuo; Claudio Durán; Carlo V. Cannistraci (CoRR, 2019)

Geometrical congruence and efficient greedy navigability of complex networks. - Carlo Vittorio Cannistraci; Alessandro Muscoloni (CoRR, 2020)

Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks. - Claudio Durán; Alessandro Muscoloni; Carlo Vittorio Cannistraci (Appl. Netw. Sci., 2021)

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. - Yan Ge; Philipp Rosendahl; Claudio Durán; Nicole Töpfner; Sara Ciucci; Jochen R. Guck; Carlo Vittorio Cannistraci (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms. - Aldo Acevedo; Claudio Durán; Ming-Ju Kuo; Sara Ciucci; Michael Schroeder 001; Carlo Vittorio Cannistraci (IEEE Access, 2022)

Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning. - Yingtao Zhang; Jialin Zhao 004; Wenjing Wu; Alessandro Muscoloni; Carlo Vittorio Cannistraci (ICLR, 2024)

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. - Yingtao Zhang; Haoli Bai; Haokun Lin; Jialin Zhao 004; Lu Hou 002; Carlo Vittorio Cannistraci (ICLR, 2024)

Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks. - Jialin Zhao 004; Yingtao Zhang; Xinghang Li; Huaping Liu; Carlo Vittorio Cannistraci (CoRR, 2024)

Artificial Intelligence for Complex Network: Potential, Methodology and Application. - Jingtao Ding; Yu Zheng 010; Huandong Wang; Carlo Vittorio Cannistraci; Jianxi Gao; Yong Li 008; Chuan Shi 001 (WWW (Companion Volume), 2025)

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models. - Jialin Zhao 004; Yingtao Zhang; Carlo Vittorio Cannistraci (CoRR, 2025)

Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected. - Yingtao Zhang; Jialin Zhao 004; Wenjing Wu; Ziheng Liao; Umberto Michieli; Carlo Vittorio Cannistraci (CoRR, 2025)