Machine Learning the Decoherence Property of Superconducting and Semiconductor Quantum Devices from Graph Connectivity. [PDF]
Fu Q, Liu J, Wang X, Xiong R.
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Causal Graphical Models and Their Applications. [PDF]
Sucar LE, Danks D.
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Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. [PDF]
Chan KY +4 more
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Robustness of Topological Phases on Aperiodic Lattices. [PDF]
Li Y.
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Multi-Dimensional Quantum-like Resources from Complex Synchronized Networks. [PDF]
Saha D, Scholes GD.
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PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
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Novel temperature-based spectral topological indices for QSPR modeling of polyacenes in predicting physicochemical properties. [PDF]
Hayat S, Alanazi SJF, Belay MB, Wang S.
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Topology-preserving Hodge decomposition in the Eulerian representation. [PDF]
Su Z, Tong Y, Wei GW.
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Machine Learning Techniques for Computational Characterization of Protein-Associated Small Molecules with Therapeutic Relevance. [PDF]
Ali J, Aqib M, Ali Y, Malik MA.
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Exact wave structures in magneto-optic soliton channels governed by Kudryashov-type coupled Schrödinger dynamics. [PDF]
Tarek A, Ahmed HM, Badra N, Samir I.
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