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Found 11 papers, 2 papers with code
Clue-Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption
In this paper, we introduce a Clue-Guided Path Exploration framework (CGPE) that efficiently merges a knowledge base with an LLM, placing less stringent requirements on the model's capabilities.
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Therapeutic peptides represent a unique class of pharmaceutical agents crucial for the treatment of human diseases.
HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
More importantly, HampDTI identifies the important meta-paths for DTI prediction, which could explain how drugs connect with targets in HNs.
Robust optimal policies for team Markov games
In stochastic dynamic environments, team Markov games have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multi-agent systems.
A possible blazar spectral irregularity case caused by photon--axionlike-particle oscillations
We investigate this possibility by fitting the spectrum with the photon-ALP oscillation model, and find that the parameter space of ALP mass $m_a\leq 10^{-8}$\, eV and the coupling constant (between photons and ALPs) $g_{a\gamma}$=1. 16--1. 48$\times 10^{-10}$\, GeV$^{-1}$ can provide a fit to the line-like feature, while the magnetic field at the emission site of $\gamma$-rays is fixed at 0. 7\, G.
High Energy Astrophysical Phenomena
Learning enables adaptation in cooperation for multi-player stochastic games
Interactions among individuals in natural populations often occur in a dynamically changing environment.
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
However, the F-Score of event arguments extraction is much lower than that of event trigger extraction, i. e. in the most recent work, event trigger extraction achieves 80. 7%, while event arguments extraction achieves only 58%.
Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations
To this end, we innovatively represent miRNA-disease-type triplets as a tensor and introduce Tensor Decomposition methods to solve the prediction task.
pISTA-SENSE-ResNet for Parallel MRI Reconstruction
Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time.
A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI
The pFISTA, a simple and efficient algorithm for sparse reconstruction, has been successfully extended to parallel imaging.
A straightforward method to assess motion blur for different types of displays
A simulation method based on the liquid crystal response and the human visual system is suitable to characterize motion blur for LCDs but not other display types.
