Deep Learning on Graphs: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2981333
Abstract: Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the… read more here.
Keywords: graphs survey; learning graphs; learning; deep learning ... See more keywords
Word-Representable Graphs: a Survey
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied and Industrial Mathematics"
DOI: 10.1134/s1990478918020084
Abstract: Letters x and y alternate in a word w if after deleting all letters but x and y in w we get either a word xyxy... or a word yxyx... (each of these words can… read more here.
Keywords: word; graphs survey; word representable; representable graphs ... See more keywords
Subpath Queries on Compressed Graphs: a Survey
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14010014
Abstract: Text indexing is a classical algorithmic problem that has been studied for over four decades: given a text $T$, pre-process it off-line so that, later, we can quickly count and locate the occurrences of any… read more here.
Keywords: compressed graphs; graphs survey; queries compressed; survey ... See more keywords