Results 61 to 70 of about 715,782 (191)

Probabilistic Message Passing for Decentralized Control of Stochastic Complex Systems

IEEE Access, 2019
This paper proposes a novel probabilistic framework for the design of probabilistic message passing mechanism for complex and large dynamical systems that are operating and governing under a decentralized way.
Randa Herzallah
doaj   +1 more source

Scalable Trajectory Prediction via Local Neighborhood Interactions

IEEE Open Journal of Intelligent Transportation Systems
Accurate trajectory prediction is essential for autonomous driving systems to make safe and efficient decisions. Traditional global message-passing methods, though effective at capturing mutual interactions, suffer from an $O(N^{2})$ parameter ...
Shuyi Tan, Chao Huang, Yi Zhang, Yang Wang   +3 more
doaj   +1 more source

The graphical brain: Belief propagation and active inference [PDF]

Network Neuroscience, 2017
This paper considers functional integration in the brain from a computational perspective. We ask what sort of neuronal message passing is mandated by active inference—and what implications this has for context-sensitive connectivity at microscopic and ...
Karl J. Friston, Thomas Parr, Bert de Vries   +2 more
doaj   +1 more source

Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification

, 2022
Graph neural networks (GNNs) can be effectively applied to solve many real-world problems across widely diverse fields. Their success is inseparable from the message-passing mechanisms evolving over the years.
Shan Ai, Liu, Chao, Chao Liu, Ai, Shan, Zhang, Ji, Yan Pang, Wang, Zhen, Pang, Yan, Lin, Jianwei, Ji Zhang, Teng Huang, Zhen Wang, Jianwei Li, Poorya Hosseini, Hosseini, Poorya, Huang, Teng   +15 more
core   +1 more source

Reweighted message passing revisited

, 2013
We propose a new family of message passing techniques for MAP estimation in graphical models which we call Sequential Reweighted Message Passing (SRMP).
Kolmogorov, Vladimir
core   +2 more sources

The Impact of the Collective Influence of Search Engines on Social Networks

IEEE Access, 2017
A social network contains a significant set of spreaders whose activities can lead to largescale activation of network members. In order to find the minimal set of spreaders, many methods based on traditional network topology have been proposed. However,
Dezhang Kong, Cai Fu, Jia Yang, Deliang Xu, Lansheng Han   +4 more
doaj   +1 more source

Heterophily-informed Message Passing [PDF]

Trans. Mach. Learn. Res.
Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.
Solin Arno, Wang Haishan, Garg Vikas
openaire   +5 more sources

Joint user activity and signal detection for massive multiple-input multiple-output

Dianxin kexue, 2021
In uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices ...
Xiaoqun SONG, Ming JIN, Zhongjie JIA
doaj   +2 more sources

Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks

Sensors, 2018
This paper proposes a distributed energy-efficient clustering protocol for wireless sensor networks (WSNs). Based on low-energy adaptive clustering hierarchy (LEACH) protocol, the proposed LEACH-eXtended Message-Passing (LEACH-XMP) substantially improves
Jaeyoung Kang, Illsoo Sohn, Sang Hyun Lee   +2 more
doaj   +1 more source

Message Passing Graph Kernels

CoRR, 2018
Graph kernels have recently emerged as a promising approach for tackling the graph similarity and learning tasks at the same time. In this paper, we propose a general framework for designing graph kernels. The proposed framework capitalizes on the well-known message passing scheme on graphs.
Giannis Nikolentzos, Michalis Vazirgiannis   +1 more
openaire   +3 more sources