Quan Gan

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

2019 · arXiv (Cornell University)

Advancing research in the emerging field of deep graph learning requires new tools to support tensor computation over graphs. In this paper, we present the design principles and implementation of Deep Graph Library (DGL). DGL …

Smooth Distribution and Depth-Focused Distillation-Based Class-Incremental Learning for SAR Target Detection

2025 · IEEE Transactions on Geoscience and Remote Sensing

Incremental learning methods can overcome the problem of catastrophic forgetting in synthetic aperture radar (SAR) target detection models when continuously learning new class data. However, due to the characteristics of SAR images, such as large …