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Found 2 papers, 2 papers with code
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
These datasets are thoughtfully designed to include relevant graph structures and bias information crucial for the fair evaluation of models.
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
To overcome this drawback, we propose to learn a graph filter motivated by the theoretical analysis of Barlow Twins.
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