Results 81 to 90 of about 1,903,201 (339)

Dependency Parsing with Dilated Iterated Graph CNNs

, 2017
Dependency parses are an effective way to inject linguistic knowledge into many downstream tasks, and many practitioners wish to efficiently parse sentences at scale.
McCallum, Andrew, Strubell, Emma
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Deep neural networks on graph signals for brain imaging analysis

, 2017
Brain imaging data such as EEG or MEG are high-dimensional spatiotemporal data often degraded by complex, non-Gaussian noise. For reliable analysis of brain imaging data, it is important to extract discriminative, low-dimensional intrinsic representation
Cheung, Ngai-Man, Guo, Yiluan, Nejati, Hossein   +2 more
core   +1 more source

Graph-Time Convolutional Neural Networks

2021 IEEE Data Science and Learning Workshop (DSLW), 2021
Spatiotemporal data can be represented as a process over a graph, which captures their spatial relationships either explicitly or implicitly. How to leverage such a structure for learning representations is one of the key challenges when working with graphs. In this paper, we represent the spatiotemporal relationships through product graphs and develop
Isufi, E. (author), Mazzola, Gabriele (author)   +1 more
openaire   +4 more sources

Naked cuticle is essential for Drosophila wing development beyond Wingless signaling

FEBS Open Bio, EarlyView.
Naked cuticle (Nkd), a Wnt signaling inhibitor, assumes extensive roles in Drosophila wing development. Overexpressing Nkd causes smaller, crumpled wings, while also perturbing multiple signaling pathways and developmental genes. A specific region (R1S) is critical for Nkd's function as a signaling integrator, offering new insights for studying its ...
Rui Wang, Ping Wang
wiley   +1 more source

Smart Contract Vulnerability Detection using Graph Neural Network

International Joint Conference on Artificial Intelligence, 2020
The security problems of smart contracts have drawn extensive attention due to the enormous financial losses caused by vulnerabilities. Existing methods on smart contract vulnerability detection heavily rely on fixed expert rules, leading to low ...
Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He   +5 more
semanticscholar   +1 more source

Graph Kernel Neural Networks

IEEE Transactions on Neural Networks and Learning Systems
The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an input matrix and a filter. While this is readily applicable to data such as images, which can be represented as regular grids in the Euclidean space, extending the convolution operator to work on graphs proves more ...
Cosmo, Luca, Minello, Giorgia, Bicciato, Alessandro, Bronstein, Michael M., Rodolà, Emanuele, Rossi, Luca, Torsello, Andrea   +6 more
openaire   +4 more sources

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source

Multi-Channel Graph Neural Network for Entity Alignment [PDF]

Annual Meeting of the Association for Computational Linguistics, 2019
Entity alignment typically suffers from the issues of structural heterogeneity and limited seed alignments. In this paper, we propose a novel Multi-channel Graph Neural Network model (MuGNN) to learn alignment-oriented knowledge graph (KG) embeddings by ...
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juan-Zi Li, Tat-Seng Chua   +5 more
semanticscholar   +1 more source

Stochastic graph recurrent neural network

Neurocomputing, 2022
Representation learning over graph structure data has been widely studied due to its wide application prospects. However, previous methods mainly focus on static graphs while many real-world graphs evolve over time. Modeling such evolution is important for predicting properties of unseen networks.
Yan, Tijin, Zhang, Hongwei, Li, Zirui, Xia, Yuanqing   +3 more
openaire   +2 more sources