Disambiguated Node Classification with Graph Neural Networks

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Xiang Zhang, Suhang Wang, , | Summary: Graph Neural Networks (GNNs) have demonstrated significant success in learning from graph-structured data across various domains. Despite their great successful, one critical challenge is often overlooked by existing works, i.e., the learning of message propagation that can generalize […]


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Quantum Melting of a Disordered Wigner Solid

Kavli Affiliate: Feng Wang | First 5 Authors: Ziyu Xiang, Hongyuan Li, Jianghan Xiao, Mit H. Naik, Zhehao Ge | Summary: The behavior of two-dimensional electron gas (2DEG) in extreme coupling limits are reasonably well-understood, but our understanding of intermediate region remains limited. Strongly interacting electrons crystalize into a solid phase known as the Wigner […]


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Splitting probabilities are optimal controllers of rare reactive events

Kavli Affiliate: David T. Limmer | First 5 Authors: Aditya N. Singh, David T. Limmer, , , | Summary: The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor, in that […]


Continue.. Splitting probabilities are optimal controllers of rare reactive events

Splitting probabilities as optimal controllers of rare reactive events

Kavli Affiliate: David T. Limmer | First 5 Authors: Aditya N. Singh, David T. Limmer, , , | Summary: The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor, in that […]


Continue.. Splitting probabilities as optimal controllers of rare reactive events

Splitting probabilities as optimal controllers of rare reactive events

Kavli Affiliate: David T. Limmer | First 5 Authors: Aditya N. Singh, David T. Limmer, , , | Summary: The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor, in that […]


Continue.. Splitting probabilities as optimal controllers of rare reactive events

WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Jingyang Huang, Huan Yan, Peng Zhao, Guohang Zhuang | Summary: Recent years have witnessed a growing interest in Wi-Fi-based gesture recognition. However, existing works have predominantly focused on closed-set paradigms, where all testing gestures are predefined during training. This poses a significant challenge in real-world […]


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Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


Continue.. Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


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A parallel domain decomposition method for solving elliptic equations on manifolds

Kavli Affiliate: Feng Wang | First 5 Authors: Lizhen Qin, Feng Wang, Yun Wang, , | Summary: We propose a new numerical domain decomposition method for solving elliptic equations on compact Riemannian manifolds. One advantage of this method is its ability to bypass the need for global triangulations or grids on the manifolds. Additionally, it […]


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Seismic Traveltime Tomography with Label-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Bo Yang, Renfang Wang, Hong Qiu, | Summary: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to […]


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