arXiv Machine Learning June 10, 2026 By Joyce Karen Pelaez, Siqi Zhang, Hoo Sang Ko

Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing

Read the original on arXiv Machine Learning →

arXiv:2606. 10227v1 Announce Type: new Abstract: Metal additive manufacturing enables the fabrication of complex parts, but achieving consistent build quality remains challenging due to interactions induced by repeated layer-wise melting, solidification, and reheating across the 3D build.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

arXiv:2607. 15799v1 Announce Type: cross Abstract: Industrial processes often generate complex, interdependent time-series data from multiple sensors across multiple stages, forming complex dependencies among variables and process stages.

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AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks

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By Zhongyue Zhang, Guangyin Jin, Yuxuan Liang, Suwan Yin, Yuankai Wu

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