IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph
Learning
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph
Learning
Deep graph learning has gained grand popularity over the past years due to its versatility and success in representing graph data across a wide range of domains. However, the pervasive issue of imbalanced graph data distributions, where certain parts exhibit disproportionally abundant data while others remain sparse, undermines the efficacy …