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cs.LG2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang, Wei Zhou, Yifei Sun +3
Graph self-supervised learning has sparked a research surge in training informative representations without accessing any labeled data. However, our understanding of graph self-sup…
cs.LG2024★ 2 cited
Are Synthetic Time-series Data Really not as Good as Real Data?
Fanzhe Fu, Junru Chen, Jing Zhang +3
Time-series data presents limitations stemming from data quality issues, bias and vulnerabilities, and generalization problem. Integrating universal data synthesis methods holds pr…