Results 21 to 30 of about 4,550,446 (348)

On the enumeration of uniquely reducible double designs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2005
A double $2$-$(v,k,2 \lambda)$ design is a design which is reducible into two $2$-$(v,k,\lambda)$ designs. It is called uniquely reducible if it has, up to equivalence, only one reduction.
Veerle Fack   +2 more
doaj   +1 more source

Graph Convolutional Neural Networks for Web-Scale Recommender Systems [PDF]

open access: yesKnowledge Discovery and Data Mining, 2018
Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender system benchmarks. However, making these methods practical and scalable to web-scale recommendation tasks with billions of items
Rex Ying   +5 more
semanticscholar   +1 more source

Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response

open access: yesBMC Public Health, 2022
Emerging infectious diseases are a growing threat in sub-Saharan African countries, but the human and technical capacity to quickly respond to outbreaks remains limited.
Sara Botero-Mesa   +47 more
doaj   +1 more source

Odd Harmonious Labeling of PnC4 and  PnD2(C4)

open access: yesIndonesian Journal of Combinatorics, 2021
A graph G with q edges is said to be odd harmonious if there exists an injection f:V(G) → ℤ2q so that the induced function f*:E(G)→ {1,3,...,2q-1} defined by f*(uv)=f(u)+f(v) is a bijection.Here we show that graphs constructed by edge comb product of ...
Sabrina Shena Sarasvati   +2 more
doaj   +1 more source

Graph WaveNet for Deep Spatial-Temporal Graph Modeling [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2019
Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. Existing approaches mostly capture the spatial dependency on a fixed graph structure, assuming that the underlying ...
Zonghan Wu   +4 more
semanticscholar   +1 more source

COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub

open access: yesScientific Data, 2022
Here we present the design and results of an analytical pipeline for COVID-19 data for Switzerland. It is applied to openly available data from the beginning of the epidemic in 2020 to the present day (august 2022).
Flávio Codeço Coelho   +2 more
doaj   +1 more source

SuperGlue: Learning Feature Matching With Graph Neural Networks [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points.
Paul-Edouard Sarlin   +3 more
semanticscholar   +1 more source

Heterogeneous Graph Attention Network [PDF]

open access: yesThe Web Conference, 2019
Graph neural network, as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest.
Xiao Wang   +6 more
semanticscholar   +1 more source

Smart contracts

open access: yesInternet Policy Review, 2021
A smart contract is code deployed in a blockchain environment, or the source code from which such code was compiled.
Primavera De Filippi   +2 more
doaj   +1 more source

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2018
Many interesting problems in machine learning are being revisited with new deep learning tools. For graph-based semi-supervised learning, a recent important development is graph convolutional networks (GCNs), which nicely integrate local vertex ...
Qimai Li, Zhichao Han, Xiao-Ming Wu
semanticscholar   +1 more source

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