Publications associées à Small-world network

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

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 Inst2024

Cortical 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 ...

2024

A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

Ainur Zhaikhan

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 Inc2024

Maximum 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 ...

2023

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Ali H. Sayed, Michele Cirillo

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 INC2023

Scalable maximal subgraph mining with backbone-preserving graph convolutions

Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

Maximal subgraph mining is increasingly important in various domains, including bioinformatics, genomics, and chemistry, as it helps identify common characteristics among a set of graphs and enables their classification into different categories. Existing ...

ELSEVIER SCIENCE INC2023

A 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 LTD2023

Revisiting 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

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Small-world network

Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Cortical cell assemblies and their underlying connectivity: An in silico study

A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

The Strong Integral Input-to-State Stability Property in Dynamical Flow Networks

Maximum Independent Set: Self-Training through Dynamic Programming

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Scalable maximal subgraph mining with backbone-preserving graph convolutions

A continuum approximation approach to the depot location problem in a crowd-shipping system

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

Graph Chatbot

Chattez avec Graph Search

Cortical cell assemblies and their underlying connectivity: An in silico study

Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents

Data-Driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

The Strong Integral Input-to-State Stability Property in Dynamical Flow Networks

Maximum Independent Set: Self-Training through Dynamic Programming

A continuum approximation approach to the depot location problem in a crowd-shipping system

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Scalable maximal subgraph mining with backbone-preserving graph convolutions

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models