Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks
Abstract: Graph neural networks (GNNs) have been playing important roles in various graph-related tasks. However, most existing GNNs are based on the assumption of homophily, so they cannot be ...
Abstract: Deep learning-based soft sensor modeling methods have been extensively studied and applied to industrial processes in the last decade. However, existing soft sensor models mainly focus on ...
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