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#linkprediction — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #linkprediction, aggregated by home.social.

  1. Very happy to announce our new paper accepted in @eswc_conf
    #ESWC2024: "Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction"!

    📎 arxiv.org/pdf/2303.00286.pdf

    w/ N. Hubert, A. Brun, and D. Monticolo

    #knowledgeGraph #semanticWeb #machineLearning #linkPrediction #neurosymbolicAI #artificialIntelligence #linkedOpenData #graphEmbeddings #embeddings #graphNeuralNetworks

  2. Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!

    Paper: arxiv.org/pdf/2309.03685.pdf
    Code: github.com/nicolas-hbt/pygraft

    PyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing

  3. As a 2nd topic of this last #ise2023 lecture, we were discussing #KnowledgeGraph Completion. Most simple approach for unsupervised #linkprediction based on (here translation-based) knowledge graph embeddings was explained on the example of Isaac Asimov.
    Slides: drive.google.com/file/d/1atNvM
    @fizise @enorouzi #scifi #knowledgegraphs #ai #deeplearning #embeddings

  4. Topics of the last #ise2023 lecture; The Graph in #KnowledgeGraphs, Knowledge Graph Completion, A Brief History of Large Language Models, and Knowledge Graphs and Large Language Models. I will highlight some topics with the upcoming toots...
    Slides: drive.google.com/file/d/1atNvM
    #llms #languagemodels #deeplearning #linkprediction #kgc #lecture #machinelearning #transformers #gpt @fizise @enorouzi