WebJan 1, 2024 · Explainable methods for knowledge graph refinement and exploration via symbolic reasoning January 2024 Thesis for: Doctoral Advisor: Gerhard Weikum Authors: … WebThe result are large-scale knowledge graphs that try to make a good trade-off between completeness and correctness. In order to further increase the utility of such knowledge graphs, various refinement methods have been proposed, which try to infer and add missing knowledge to the graph, or identify erroneous pieces of information.
De novo drug design by iterative multiobjective deep …
WebApr 14, 2024 · WoBERT is a pre-training language model based on lexical refinement, reducing uncertainty in lexical meaning and modeling complexity. To learn more contextual information for conditional phrases, this paper ... In the subsequent task knowledge graph construction, as the conditional phrases in the sentences are extracted in this paper, it is ... WebApr 12, 2024 · As a low-cost demand-side management application, non-intrusive load monitoring (NILM) offers feedback on appliance-level electricity usage without extra sensors. NILM is defined as disaggregating loads only from aggregate power measurements through analytical tools. Although low-rate NILM tasks have been conducted by … distance from clearwater to daytona beach
RDF2vec.org
Web[3] Paulheim H., Knowledge graph refinement: A survey of approaches and evaluation methods, Semant Web 8 (2024) 489 – 508. Google Scholar [4] Dong X, Gabrilovich E, Heitz G, Horn W, Lao N, Murphy K, et al. Knowledge vault: A web-scale approach to probabilistic knowledge fusion. In: Proceedings of the 20th ACM SIGKDD international conference ... WebSep 30, 2024 · And this knowledge graph, the largest knowledge graph of MOOC resources at present, stores and represents five classes, 11 kinds of relations and 52 779 entities with their corresponding properties, amounting to more than 300 000 triples. ... Xie G. Review of knowledge graph refinement. Application of Electronic Technique, 2024, 44(9): 29-33 ... WebKnowledge graph refinement is a field of correcting or improving the knowledge graph. BioKG (Zhao et al. 2024), which worked on medical graphs, has tried to provide a distance from clearwater to coral springs fl