Results 71 to 80 of about 1,049,471 (309)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning [PDF]

IEEE Robotics and Automation Letters, 2020
The domains of transport and logistics are increasingly relying on autonomous mobile robots for the handling and distribution of passengers or resources.
Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok   +3 more
semanticscholar   +1 more source

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Conference on Empirical Methods in Natural Language Processing, 2019
Short text classification has found rich and critical applications in news and tweet tagging to help users find relevant information. Due to lack of labeled training data in many practical use cases, there is a pressing need for studying semi-supervised ...
Linmei Hu, Tianchi Yang, C. Shi, Houye Ji, Xiaoli Li   +4 more
semanticscholar   +1 more source

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering

AAAI Conference on Artificial Intelligence, 2023
As one of the most important research topics in the unsupervised learning field, Multi-View Clustering (MVC) has been widely studied in the past decade and numerous MVC methods have been developed.
Zongmo Huang, Yazhou Ren, X. Pu, Shudong Huang, Zenglin Xu, Lifang He   +5 more
semanticscholar   +1 more source

Multi-Agent Transformer Networks With Graph Attention

IEEE Access
In addressing multi-agent reinforcement learning (MARL) challenges, Multi-Agent Transformer (MAT) has demonstrated a number of notable successes. In various benchmarks, MAT consistently showed a strong performance.
Woobeen Jin, Hyukjoon Lee
doaj   +1 more source

Algorithms for Visualizing Phylogenetic Networks

, 2016
We study the problem of visualizing phylogenetic networks, which are extensions of the Tree of Life in biology. We use a space filling visualization method, called DAGmaps, in order to obtain clear visualizations using limited space.
A Arvelakis, A Symeonidis, C Kuratowski, DH Huson, DH Huson, DH Huson, DH Huson, DH Huson, EH Baehrecke, J Jansson, J Jansson, L Wang, P Bertolazzi, P McConnell, RC Linder, V Tsiaras, WF Doolittle, WP Maddison, Y Tao   +18 more
core   +1 more source

Random Walk Graph Auto-Encoders With Ensemble Networks in Graph Embedding

IEEE Access, 2023
Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph convolutional neural networks (GCNs) as encoders to learn the ...
Chengxin Xie, Xiumei Wen, Fanxing Meng, Hui Pang   +3 more
doaj   +1 more source

Explosive Synchronization Transitions in Scale-free Networks

, 2011
The emergence of explosive collective phenomena has recently attracted much attention due to the discovery of an explosive percolation transition in complex networks.
A. Pikovsky, A. T. Winfree, Alex Arenas, Jesús Gómez-Gardeñes, S. H. Strogatz, Sergio Gómez, Y. Kuramoto, Yamir Moreno   +7 more
core   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets

Machine Learning with Applications
In this study, we adapt three spatial-temporal graph neural network models to the unique characteristics of crude oil, gold, and silver markets for forecasting purposes.
Parisa Foroutan, Salim Lahmiri
doaj   +1 more source

The Behavior of Epidemics under Bounded Susceptibility

, 2014
We investigate the sensitivity of epidemic behavior to a bounded susceptibility constraint -- susceptible nodes are infected by their neighbors via the regular SI/SIS dynamics, but subject to a cap on the infection rate. Such a constraint is motivated by
Banerjee, Siddhartha, Krishnasamy, Subhashini, Shakkottai, Sanjay   +2 more
core   +1 more source