However, conventional methods often face challenges related to computational cost (explicit solvent) or accuracy (implicit solvent). Here, we showcase how our graph neural network (GNN)-based implicit ...

The US Coast Guard has released its report into the death of a crewmember onboard the Red Stag while moored at the Adriatic Marine Dock, in Port Fourchon, LA, on October 14, 2023. The incident ...

GlORIE-SLAM produces accurate dense geometry and camera tracking on large-scale indoor scenes thanks to our deformable scene representation and DSPO layer. GlORIE-SLAM uses a deformable point cloud as ...

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Shanghai Key Laboratory of Advanced Polymeric Materials, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China ...

Perplexity CEO Aravind Srinivas said that currently, there is not much differentiation in the products offered by major players in the generative artificial intelligence (GenAI) space. Speaking to ...

In this paper, we propose a textual graph representation method with syntactic weighting for implicit sentiment analysis. This method improves textual semantic association by modeling the graph ...

The core challenges involve effectively harnessing this implicit knowledge and augmenting narrative diversity. Addressing these hurdles, this paper introduces SimCoS - an acronym for Simple ...

odgi provides an efficient and succinct dynamic DNA sequence graph model, as well as a host of algorithms that allow the use of such graphs in bioinformatic analyses. The edges and path steps are ...

We first consider the Implicit Differentiation on the Equilibrium state (IDE) method (Xiao et al., 2021) for SNN training. It decouples the forward and backward computational graphs, where the forward ...