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#graph neural networks Book Open access Nov 2026

SemSTG: Semantic State Transition Graphs for Time Series Event Forecasting

This paper constructs a semantic state transition graph (SemSTG) from time series with a self-supervised state recognition approach, and introduces a novel graph neural network to learn robust representations of the semantic state transition graph.

Jie Zhang, Peng Wang, Wei Wang · 0 citations
Review Sep 2026

A Sky-validated RDMA-fed GPU FX Correlator for QUEST

We present a reconfigurable, real-time GPU FX correlator for the four-antenna commissioning configuration of QUEST (Qilu University Explorer Survey Telescope). Deterministic RFSoC/FPGA acquisition is paired with a software-defined Python/CuPy correlator on a commodity GPU server: a custom InfiniBand RDMA receiver deliv...

Jia-Lang Ding, Jun-Hua Gu, Guan-Hong Lin et al. · 0 citations

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