Browsing Data Science Institute by Subject "knowledge graphs"

Now showing items 1-4 of 4

    • Drug target discovery using knowledge graph embeddings 

      Mohamed, Sameh K.; Nováček, Vít; Nounu, Aayah (Association for Computing Machinery, 2019-04-08)
      The field of drug discovery has entered a plateau stage lately. It is increasingly more expensive and time-demanding to introduce new drugs into the market. One of the main reasons is the slow progress in finding novel ...

    • Knowledge graph driven approach to represent video streams for spatiotemporal event pattern matching in complex event processing 

      Yadav, Piyush; Salwala, Dhaval; Das, Dibya Prakash; Curry, Edward (World Scientific Publishing, 2020)
      Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video ...

    • Link prediction using multi part embeddings 

      Mohamed, Sameh K.; Nováček, Vít (NUI Galway, 2019-06-02)
      Knowledge graph embeddings models are widely used to provide scalable and efficient link prediction for knowledge graphs. They use different techniques to model embeddings interactions, where their tensor factorisation ...

    • Uncovering semantic bias in neural network models using a knowledge graph 

      Nikolov, Andriy; d'Aquin, Mathieu (ACM, 2020-10-19)
      While neural networks models have shown impressive performance in many NLP tasks, lack of interpretability is often seen as a disadvantage. Individual relevance scores assigned by post-hoc explanation methods are not ...