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Conference

Seeking universal approximation for continuous limits of graph neural networks on large random graphs

Subjects: graph neural networks; random graphs; neural operatorsPacific Grove; United States

  • Source: Asilomar 2024 - Asilomar Conference on Signals, Systems, and Computers ; https://hal.science/hal-04831761 ; Asilomar 2024 - Asilomar Conference on Signals, Systems, and Computers, Oct 2024, Pacific

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Conference

Symbolic Graph Query Solving

Subjects: Operational semantics; Rewrite systems; Graph query languagesTokyo; Japan

  • Source: Symbolic Computation in Software Science - 10th International Symposium ; 10th International Symposium en Symbolic Computation in Software Science ; https://hal.science/hal-04772426 ; 10th

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Academic Journal

Output null controllability for linear time-invariant structured discrete-time systems: a graph theoretic condition

Subjects: Structured linear discrete-time systems; output null controllability; graph theoretic approach

  • Source: ISSN: 0947-3580 ; European Journal of Control ; https://hal.science/hal-04644857 ; European Journal of Control, 2024, 79, pp.101077. ⟨10.1016/j.ejcon.2024.101077⟩ ;

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Conference

Knowledge Enhanced Graph Neural Networks for Graph Completion

Subjects: neuro-symbolic integration; graph neural networks; relational learningThessalokini; Greece

  • Source: DSAA 2023 - The 10th IEEE International Conference on Data Science and Advanced Analytics ; https://inria.hal.science/hal-04041691 ; DSAA 2023 - The 10th IEEE International Conference on Data Science

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Conference

Translating data science queries from natural language into graph analytics queries using NLDS-QL

Subjects: data science queries; graph analytics; natural language processingIoannina; Greece

  • Source: CEUR Workshop Proceedings 3379, CEUR-WS.org 2023 ; Workshops of the EDBT/ICDT 2023 Joint Conference ; https://hal.science/hal-04272051 ; Workshops of the EDBT/ICDT 2023 Joint Conference, Mar 2023,

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