Sökning: "Graph Data"

Visar resultat 16 - 20 av 239 avhandlingar innehållade orden Graph Data.

  1. 16. Code Optimisation Techniques for Lazy Functional Languages

    Författare :Urban Boquist; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; graph reduction; garbage collection; lazy functional languages; program transformation; interprocedural register allocation; graph colouring; intermediate code; code optimisation; compiler back-end;

    Sammanfattning : This thesis describes a complete compiler back-end for lazy functional languages, which uses various interprocedural optimisations to produce highly optimised code. The most important contributions of this work are the following. LÄS MER

  3. 17. Best Trees Extraction and Contextual Grammars for Language Processing

    Författare :Anna Jonsson; Johanna Björklund; Frank Drewes; Hendrik Jan Hoogeboom; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Weighted tree automata; the N-best problem; efficient algorithms; semantic graph; abstract meaning representation; contextual graph grammars; hyperedge replacement; graph extensions;

    Sammanfattning : In natural language processing, the syntax of a sentence refers to the words used in the sentence, their grammatical role, and their order. Semantics concerns the concepts represented by the words in the sentence and their relations, i.e., the meaning of the sentence. LÄS MER

  4. 18. Towards Decentralized Graph Learning

    Författare :Lodovico Giaretta; Sarunas Girdzijauskas; Henrik Boström; Leila Bahri; Márk Jelasity; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : Current Machine Learning (ML) approaches typically present either a centralized or federated architecture. However, these architectures cannot easily keep up with some of the challenges introduced by recent trends, such as the growth in the number of IoT devices, increasing awareness about the privacy and security implications of extensive data collection, and the rise of graph-structured data and Graph Representation Learning. LÄS MER

  5. 19. Query Processing over Heterogeneous Federations of Graph Data

    Författare :Sijin Cheng; Olaf Hartig; Patrick Lambrix; Andreas Harth; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Graph data offers a natural and intuitive way to represent complex relationships in various real-world phenomena, such as social networks, e-commerce platforms, and biological networks. The way we interact with information, technology and even society has been changed by graph data, especially after Google started in 2012 to develop the so-called Knowledge Graph. LÄS MER

  7. 20. Advances in Functional Decomposition: Theory and Applications

    Författare :Andrés Martinelli; Elena Dubrova; Jon Muzio; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computer science; electronic system design; Boolean decomposition; binary decision diagram; logic synthesis; graph algorithm; Computer science; Datavetenskap;

    Sammanfattning : Functional decomposition aims at finding efficient representations for Boolean functions. It is used in many applications, including multi-level logic synthesis, formal verification, and testing. This dissertation presents novel heuristic algorithms for functional decomposition. LÄS MER