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06/08/2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Research on GNNs has highlighted a relationship between high homophily (...
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08/23/2022
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment
Network alignment, or the task of finding corresponding nodes in differe...
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07/10/2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
We study the task of node classification for graph neural networks (GNNs...
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07/09/2022
Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
Capturing intricate biological phenomena often requires multiscale model...
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02/26/2021
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding
While most network embedding techniques model the relative positions of ...
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07/30/2020
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Network alignment is useful for multiple applications that require incre...
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06/20/2020
Generalizing Graph Neural Networks Beyond Homophily
We investigate the representation power of graph neural networks in the ...
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05/10/2020
Consistent Network Alignment with Node Embedding
Network alignment, the process of finding correspondences between nodes ...
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04/18/2019