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pro vyhledávání: '"Zahirnia, Kiarash"'
Graph Neural Networks (GNNs) are important across different domains, such as social network analysis and recommendation systems, due to their ability to model complex relational data. This paper introduces subgraph queries as a new task for deep grap
Externí odkaz:
http://arxiv.org/abs/2408.04053
Generative models for graph data are an important research topic in machine learning. Graph data comprise two levels that are typically analyzed separately: node-level properties such as the existence of a link between a pair of nodes, and global agg
Externí odkaz:
http://arxiv.org/abs/2210.16844
Recent work on graph generative models has made remarkable progress towards generating increasingly realistic graphs, as measured by global graph features such as degree distribution, density, and clustering coefficients. Deep generative models have
Externí odkaz:
http://arxiv.org/abs/2106.15239
Publikováno v:
2015 5th International Conference on Computer & Knowledge Engineering (ICCKE); 2015, p158-163, 6p