吹牛者
发表于 2025-3-26 22:50:41
Multi-view Based Entity Frequency-Aware Graph Neural Network for Temporal Knowledge Graph Link Prediamework that learns node embedding to capture structural evolution of TKG by combining Multi-view Graph Neural Network (MGNN) and Entity Frequency-aware Attention Network (EFAN). Experiments on three real datasets show that MEFGNN outperforms state-of-the-art methods, our ablation study also validates the effectiveness of MGNN and EFAN.
Accolade
发表于 2025-3-27 04:48:29
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Interlocking
发表于 2025-3-27 06:52:11
Automatische Verfeinerung der Wissensbasis durch maschinelles Lernen in einem medizinischen Expertenion (and neutralization), host and tissue specificity, and viral pathogenesis. In the future, this work will also facilitate structural studies of other picornaviruses (several of which have already been crystallized) and the extension of the techniques to other families of animal viruses.
AWL
发表于 2025-3-27 09:37:29
Ron Koymansf diminishing returns is now questioning the sustainability of further evolution of Moore‘s Law and its ability to sustain the progress of today‘s knowledge bas978-3-031-00897-9978-3-031-02025-4Series ISSN 2381-1412 Series E-ISSN 2381-1439
外表读作
发表于 2025-3-27 16:32:10
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MUTED
发表于 2025-3-27 20:37:13
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multiply
发表于 2025-3-28 01:48:14
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