4 citations · 9 across the 5 of their papers we have counts for
4 papers · 1 filter
SGR: Self-Supervised Spectral Graph Representation Learning
Anton Tsitsulin, Davide Mottin, Panagiotis Karras +2
Representing a graph as a vector is a challenging task; ideally, the representation should be easily computable and conducive to efficient comparisons among graphs, tailored to the…
NetLSD: Hearing the Shape of a Graph
Anton Tsitsulin, Davide Mottin, Panagiotis Karras +2
Comparison among graphs is ubiquitous in graph analytics. However, it is a hard task in terms of the expressiveness of the employed similarity measure and the efficiency of its com…
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin, Davide Mottin, Panagiotis Karras +1
Embedding a web-scale information network into a low-dimensional vector space facilitates tasks such as link prediction, classification, and visualization. Past research has addres…
Notable Characteristics Search through Knowledge Graphs
Davide Mottin, Bastian Grasnick, Axel Kroschk +2
Query answering routinely employs knowledge graphs to assist the user in the search process. Given a knowledge graph that represents entities and relationships among them, one aims…