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Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
Feb. 6, 2024, 5:48 a.m. | Dai Shi Andi Han Lequan Lin Yi Guo Zhiyong Wang Junbin Gao
cs.LG updates on arXiv.org arxiv.org
challenges cs.lg data design development gnn graph graph neural networks networks neural networks paradigm performance physics physics-informed simple structured data through universe
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