Zobrazeno 1 - 10
of 26 825
pro vyhledávání: '"Li- Zhao"'
Autor:
Zhang, Hanyuan, Belokurov, Vasily, Evans, N. Wyn, Li, Zhao-Yu, Sanders, Jason L., Ardern-Arentsen, Anke
We present a novel method to constrain the formation time of the Milky Way disc using the chrono-kinematic signatures of the inner Galaxy. We construct an O-rich Mira variable sample from the Gaia Long-period Variable catalogue to study the kinematic
Externí odkaz:
http://arxiv.org/abs/2408.16815
Knowledge graph embedding (KGE) constitutes a foundational task, directed towards learning representations for entities and relations within knowledge graphs (KGs), with the objective of crafting representations comprehensive enough to approximate th
Externí odkaz:
http://arxiv.org/abs/2408.14840
The concept of the sharing economy has gained broad recognition, and within this context, Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite the popularity, a notable discrepancy remains between user expectations
Externí odkaz:
http://arxiv.org/abs/2407.16115
Scalar-tensor gravity, exemplified by Brans-Dicke (BD) gravity, introduces additional scalar polarization modes that contribute scalar radiation alongside tensor modes. We conduct a comprehensive analysis of how gravitational wave generation and prop
Externí odkaz:
http://arxiv.org/abs/2407.12328
The rapid growth of the automotive industry has exacerbated the conflict between the complex traffic environment, increasing communication demands, and limited resources. Given the imperative to mitigate traffic and network congestion, analyzing the
Externí odkaz:
http://arxiv.org/abs/2407.11483
The integration of Large Language Models (LLM) with Knowledge Representation Learning (KRL) signifies a significant advancement in the field of artificial intelligence (AI), enhancing the ability to capture and utilize both structure and textual info
Externí odkaz:
http://arxiv.org/abs/2407.00936
In recent years, there has been notable interest in investigating combinatorial optimization (CO) problems by neural-based framework. An emerging strategy to tackle these challenging problems involves the adoption of graph neural networks (GNNs) as a
Externí odkaz:
http://arxiv.org/abs/2406.03647
In recent years, graph neural networks (GNNs) have become increasingly popular for solving NP-hard combinatorial optimization (CO) problems, such as maximum cut and maximum independent set. The core idea behind these methods is to represent a CO prob
Externí odkaz:
http://arxiv.org/abs/2406.02872
Parton distribution functions (PDFs) form an essential part of particle physics calculations. Currently, the most precise predictions for these non-perturbative functions are generated through fits to global data. A problem that several PDF fitting g
Externí odkaz:
http://arxiv.org/abs/2406.01664
Decoding the key dynamical processes that shape the Galactic disk structure is crucial for reconstructing the Milky Way's evolution history. The second Gaia data release unveils a novel wave pattern in the $L_Z-\langle V_R\rangle$ space, but its form
Externí odkaz:
http://arxiv.org/abs/2403.14953