9 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 9 cited
Synthetic Graph Generation to Benchmark Graph Learning
Anton Tsitsulin, Benedek Rozemberczki, John Palowitch +1
Graph learning algorithms have attained state-of-the-art performance on many graph analysis tasks such as node classification, link prediction, and clustering. It has, however, bec…
cs.SI2021★ 3 cited
Recurrent Graph Neural Networks for Rumor Detection in Online Forums
Di Huang, Jacob Bartel, John Palowitch
The widespread adoption of online social networks in daily life has created a pressing need for effectively classifying user-generated content. This work presents techniques for cl…
cs.LG2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch, Bryan Perozzi
Are Graph Neural Networks (GNNs) fair? In many real world graphs, the formation of edges is related to certain node attributes (e.g. gender, community, reputation). In this case, s…