Results 31 to 40 of about 2,536,304 (342)
Graph WaveNet for Deep Spatial-Temporal Graph Modeling [PDF]
International 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
Internet 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
Heterogeneous Graph Attention Network [PDF]
The 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
COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
Scientific 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
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning [PDF]
AAAI 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
Graph-Based Genome Alignment and Genotyping with HISAT2 and HISAT-genotype
Nature Biotechnology, 2019 The human reference genome represents only a small number of individuals, which limits its usefulness for genotyping. We present a method named HISAT2 (hierarchical indexing for spliced alignment of transcripts 2) that can align both DNA and RNA ...
Daehwan Kim +4 more
semanticscholar +1 more source
SuperGlue: Learning Feature Matching With Graph Neural Networks [PDF]
Computer 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
, 2011 In this paper, we introduce ideal graph of a graph and study some of its properties. We characterize connectedness, isomorphism of graphs and coloring property of a graph using ideal graph.
Manoharan, R., Vasuki, R.
core +1 more source
DIMENSI METRIK DARI GRAF HASIL IDENTIFIKASI
Jurnal Matematika UNAND, 2022 Pada paper ini dibahas mengenai dimensi metrik dari graf hasil identififikasi. Dimensi metrik dari sebuah graf G, dinotasikan dengan dim(G), adalah kardinalitas paling kecil dari setiap himpunan pembeda di G.
Kristiana Wijaya
doaj +1 more source
Graph Powers and Graph Homomorphisms [PDF]
The Electronic Journal of Combinatorics, 2010 In this paper, we investigate some basic properties of fractional powers. In this regard, we show that for any non-bipartite graph $G$ and positive rational numbers ${2r+1\over 2s+1} < {2p+1\over 2q+1}$, we have $G^{2r+1\over 2s+1} < G^{2p+1\over 2q+1}$. Next, we study the power thickness of $G$, that is, the supremum of rational numbers ${2r+
Hossein Hajiabolhassan, Ali Taherkhani
openaire +3 more sources