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06/24/2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Predicting node labels on a given graph is a widely studied problem with...
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02/09/2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
Graph neural networks are widely used tools for graph prediction tasks. ...
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01/20/2022
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling
Graph representation learning (also called graph embeddings) is a popula...
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03/27/2020
The impossibility of low rank representations for triangle-rich complex networks
The study of complex networks is a significant development in modern sci...
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03/06/2020
