Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Wegner, Anatol E."'
Message passing neural networks (MPNNs) operate on graphs by exchanging information between neigbouring nodes. MPNNs have been successfully applied to various node-, edge-, and graph-level tasks in areas like molecular science, computer vision, natur
Externí odkaz:
http://arxiv.org/abs/2406.16687
Autor:
Wegner, Anatol E., Olhede, Sofia C.
We propose a method for obtaining parsimonious decompositions of networks into higher order interactions which can take the form of arbitrary motifs.The method is based on a class of analytically solvable generative models, where vertices are connect
Externí odkaz:
http://arxiv.org/abs/2403.15635
Autor:
Wegner, Anatol E., Olhede, Sofia
Publikováno v:
Phys. Rev. E 103, 042311 (2021)
We develop random graph models where graphs are generated by connecting not only pairs of vertices by edges but also larger subsets of vertices by copies of small atomic subgraphs of arbitrary topology. This allows the for the generation of graphs wi
Externí odkaz:
http://arxiv.org/abs/2008.10346
Autor:
Wegner, Anatol E., Ospina-Forero, Luis, Gaunt, Robert E., Deane, Charlotte M., Reinert, Gesine
Many complex systems can be represented as networks, and the problem of network comparison is becoming increasingly relevant. There are many techniques for network comparison, from simply comparing network summary statistics to sophisticated but comp
Externí odkaz:
http://arxiv.org/abs/1704.00387
Publikováno v:
Frontiers in Physics; 2024, p1-14, 14p
Autor:
Wegner, Anatol E.
The observation that some subgraphs, called motifs, appear more often in real networks than in their randomized counterparts has attracted much attention in the scientific community. In the prevalent approach the detection of motifs is based on compa
Externí odkaz:
http://arxiv.org/abs/1408.6303
Autor:
Wegner, Anatol E.
Publikováno v:
Phys. Rev. X 4, 041026 (2014)
Many real world networks contain a statistically surprising number of certain subgraphs, called network motifs. In the prevalent approach to motif analysis, network motifs are detected by comparing subgraph frequencies in the original network with a
Externí odkaz:
http://arxiv.org/abs/1406.1414
Publikováno v:
Journal of Complex Networks; Dec2018, Vol. 6 Issue 6, p887-913, 27p
Publikováno v:
Scientific Reports. 7/8/2016, p28955. 1p.
Publikováno v:
Advanced Biosystems; Apr2019, Vol. 3 Issue 4, pN.PAG-N.PAG, 1p