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07/17/2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
Despite a surge in interest in GNN development, homogeneity in benchmark...
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07/10/2022
Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks
A surge of interest in Graph Convolutional Networks (GCN) has produced t...
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04/04/2022
Synthetic Graph Generation to Benchmark Graph Learning
Graph learning algorithms have attained state-of-the-art performance on ...
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03/03/2022
Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks
How can we make predictions for nodes in a heterogeneous graph when an e...
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02/28/2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
Despite advances in the field of Graph Neural Networks (GNNs), only a sm...
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08/08/2021
Recurrent Graph Neural Networks for Rumor Detection in Online Forums
The widespread adoption of online social networks in daily life has crea...
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09/10/2020
Finding Stable Groups of Cross-Correlated Features in Multi-View data
Multi-view data, in which data of different types are obtained from a co...
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06/30/2020
Graph Clustering with Graph Neural Networks
Graph Neural Networks (GNNs) have achieved state-of-the-art results on m...
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09/25/2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
Are Graph Neural Networks (GNNs) fair? In many real world graphs, the fo...
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07/09/2018