Graph condensation
PulseAugur coverage of Graph condensation — every cluster mentioning Graph condensation across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Survey paper details fairness challenges in augmented graph learning
A new survey paper, "Fairness in Augmented Graph Learning: A Survey," explores the unique fairness challenges introduced by integrating specialized machine learning techniques into graph learning. The paper, termed Fair…
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New GECC method enables scalable, evolving graph condensation
Researchers have developed GECC, a novel framework for continual graph condensation designed to handle large-scale and evolving graph data. Unlike previous methods that assume static training sets, GECC allows for effic…
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Graph condensation methods need reset, paper argues
A new position paper argues that the current methods for graph condensation, a technique aimed at making Graph Neural Networks (GNNs) more scalable, are fundamentally flawed. The paper highlights that existing approache…