Results 51 to 60 of about 7,645,086 (295)
Relation path embedding in knowledge graphs [PDF]
Neural Computing and Applications, 2018 Large-scale knowledge graphs have currently reached impressive sizes; however, they are still far from complete. In addition, most existing methods for knowledge graph completion only consider the direct links between entities, ignoring the vital impact of the semantics of relation paths.
Xixun Lin +4 more
openaire +3 more sources
Graph-based implicit knowledge discovery from architecture change logs [PDF]
, 2012 Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to ...
Pooyan Jamshidi (5276344) +12 more
core +2 more sources
Embedding models for episodic knowledge graphs [PDF]
Journal of Web Semantics, 2019 26 ...
Yunpu Ma +2 more
openaire +3 more sources
Updating Embeddings for Dynamic Knowledge Graphs
CoRR, 2021 Data in Knowledge Graphs often represents part of the current state of the real world. Thus, to stay up-to-date the graph data needs to be updated frequently. To utilize information from Knowledge Graphs, many state-of-the-art machine learning approaches use embedding techniques.
Christopher Wewer +2 more
openaire +3 more sources
Knowledge graph embedding for drug repurposing [PDF]
, 2020 LAUREA MAGISTRALEOggigiorno è fondamentale poter saper rispondere in breve tempo a una nuova malattia che si diffonde. Per questo motivo, un approccio convenzionale non è sufficientemente reattivo.
RAMALLI, EDOARDO
core
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding [PDF]
, 2023 Knowledge graph embedding involves learning representations of entities -- the vertices of the graph -- and relations -- the edges of the graph -- such that the resulting representations encode the known factual information represented by the knowledge ...
Schrater, Paul +2 more
core +1 more source
A Novel Time Constraint-Based Approach for Knowledge Graph Conflict Resolution
Applied Sciences, 2019 Knowledge graph conflict resolution is a method to solve the knowledge conflict problem in constructing knowledge graphs. The existing methods ignore the time attributes of facts and the dynamic changes of the relationships between entities in knowledge ...
Yanjun Wang +7 more
doaj +1 more source
SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph
IEEE Access, 2021 Graph embedding models are widely used in knowledge graph completion (KGC) task. However, most models are based on the assumption that knowledge is completely certain, and this is inconsistent with real-world situations.
Jingbin Wang +3 more
doaj +1 more source
whole-graph-embedding-for-polycentricity
, 2022 Conventional polycentricity scores and embedding vectors of UB ...
Cheng Fu (8354925)
core +1 more source
Knowledge graph embeddings: open challenges and opportunities
, 2023 While Knowledge Graphs (KGs) have long been used as valuable sources of structured knowledge, in recent years, KG embeddings have become a popular way of deriving numeric vector representations from them, for instance, to support knowledge graph ...
Russa Biswas +9 more
core +1 more source