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Found 3 papers, 1 papers with code
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
State-of-the-art DocRE methods use a graph structure to connect entities across the document to capture dependency syntax information.
Harmonizing SO(3)-Equivariance with Neural Expressiveness: a Hybrid Deep Learning Framework Oriented to the Prediction of Electronic Structure Hamiltonian
Deep learning for predicting the electronic structure Hamiltonian of quantum systems necessitates satisfying the covariance laws, among which achieving SO(3)-equivariance without sacrificing the non-linear expressive capability of networks remains unsolved.
NOMA BASED SPATIAL MODULATION
By introducing non-OMA (NOMA) into SM for DL-MU transmission, NOMA-based SM (NOMA-SM) is proposed to mitigate inter-user interference, while maintaining high spectral efficiency.
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