Concept
Small-world network
Publications associées (252)
Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents
Dimitri Nestor Alice Van De Ville, Vanessa Siffredi, Natalia Fernandez, Petra Susan Hüppi
Aim: Adolescents born very preterm (VPT;
Wiley2024Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks
Wenlong Liao, Qi Liu, Zhe Yang
Reactive power optimization of distribution networks is traditionally addressed by physical model based methods, which often lead to locally optimal solutions and require heavy online inference time consumption. To improve the quality of the solution and r ...
State Grid Electric Power Research Inst2024Cortical cell assemblies and their underlying connectivity: An in silico study
Michael Reimann, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblies rema ...
2024A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks
Connectivity is an important key performance indicator and a focal point of research in large-scale wireless networks. Due to path-loss attenuation of electromagnetic waves, direct wireless connectivity is limited to proximate devices. Nevertheless, connec ...
Ieee-Inst Electrical Electronics Engineers Inc2024The Strong Integral Input-to-State Stability Property in Dynamical Flow Networks
Dynamical flow networks serve as macroscopic models for, e.g., transportation networks, queuing networks, and distribution networks. While the flow dynamics in such networks follow the conservation of mass on the links, the outflow from each link is often ...
Piscataway2024Maximum Independent Set: Self-Training through Dynamic Programming
Volkan Cevher, Grigorios Chrysos, Efstratios Panteleimon Skoulakis
This work presents a graph neural network (GNN) framework for solving the maximum independent set (MIS) problem, inspired by dynamic programming (DP). Specifically, given a graph, we propose a DP-like recursive algorithm based on GNNs that firstly construc ...
2023Estimating the Topology of Preferential Attachment Graphs Under Partial Observability
This work addresses the problem of learning the topology of a network from the signals emitted by the network nodes. These signals are generated over time through a linear diffusion process, where neighboring nodes exchange messages according to the underl ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023A continuum approximation approach to the depot location problem in a crowd-shipping system
Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink
Last-mile delivery in the logistics chain contributes to congestion in urban networks due to frequent stops. Crowd-shipping is a sustainable and low-cost alternative to traditional delivery but relies heavily on the availability of occasional couriers. In ...
PERGAMON-ELSEVIER SCIENCE LTD2023Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Karl Aberer, Rémi Philippe Lebret, Mohammadreza Banaei
Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-constrained devices, requiring practitioners to compress them to smaller net ...
Assoc Computational Linguistics-Acl2023