7 citations · 10 across the 7 of their papers we have counts for
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cs.LG2023
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators
Ousmane Touat, Julian Stier, Pierre-Edouard Portier +1
A wide variety of generative models for graphs have been proposed. They are used in drug discovery, road networks, neural architecture search, and program synthesis. Generating gra…
cs.CL2023★ 7 cited
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction
Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond +1
Unsupervised Relation Extraction (RE) aims to identify relations between entities in text, without having access to labeled data during training. This setting is particularly relev…