Results 91 to 100 of about 715,782 (191)

ADMP-GNN: Adaptive Depth Message Passing GNN

International audienceGraph Neural Networks (GNNs) have proven to be highly effective in various graph learning tasks. A key characteristic of GNNs is their use of a fixed number of message-passing steps for all nodes in the graph, regardless of each ...
Abbahaddou, Yassine, Lutzeyer, Johannes F., Vazirgiannis, Michalis, Malliaros, Fragkiskos D.   +3 more
core   +1 more source

Dynamic network energy management via proximal message passing

, 2014
Dynamic Network Energy Management via Proximal Message Passing presents a fully decentralized method for dynamic network energy management based on message passing between devices.
Kraning, Matt, Boyd, Stephen, Lavaei, Javad, Chu, Eric   +3 more
core  

TPO++: An object-oriented message-passing library in C++

, 2000
Message-passing is a well known approach for parallelizing programs. The widely used standard MPI (Message passing interface) also defines C++ bindings. Nevertheless, there is a lack of integration of object-oriented concepts.
Wolfgang Rosenstiel, Tobias Grundmann, Marcus Ritt   +2 more
core  

Vector Approximate Message Passing Based OFDM-IM Detection for Underwater Acoustic Communications. [PDF]

Entropy (Basel), 2023
Feng X, Tian F, Zhou M, Sun H, Qasem ZAH.   +4 more
europepmc   +1 more source

MMPI: Asynchronous Message Management for the Message-Passing Interface

, 1996
The Message-Passing Interface (MPI) Standard defines an asynchronous message passing functionality through primitive nonblocking send and receive operations.
Harold Carter Edwards
core  

HIGH-DIMENSIONAL NEWEY-POWELL TEST VIA APPROXIMATE MESSAGE PASSING. [PDF]

Econ Theory (N Y)
Zhou J, Zou H.
europepmc   +1 more source

Robust quantitative susceptibility mapping via approximate message passing with parameter estimation. [PDF]

Magn Reson Med, 2023
Huang S, Lah JJ, Allen JW, Qiu D.
europepmc   +1 more source

Approximate message passing from random initialization with applications to Z₂ synchronization. [PDF]

Proc Natl Acad Sci U S A, 2023
Li G, Fan W, Wei Y.
europepmc   +1 more source

Predicting Surfactant Oil-Water Interfacial Tension Using Gated Message-Passing Graph Neural Networks. [PDF]

ACS Omega
Liu S, Cui Y, Wang J, Xu H, Jiang H.
europepmc   +1 more source

Message Passing Neural Networks Improve Prediction of Metabolite Authenticity. [PDF]

J Chem Inf Model, 2023
Flynn NR, Swamidass SJ.
europepmc   +1 more source