Results 61 to 70 of about 7,092,434 (358)
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting [PDF]
Temporal knowledge graph (TKG) reasoning is a crucial task that has gained increasing research interest in recent years. Most existing methods focus on reasoning at past timestamps to complete the missing facts, and there are only a few works of ...
Haohai Sun+4 more
semanticscholar +1 more source
Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine [PDF]
The medical knowledge graph is essential for intelligent medical services, encompassing personalized diagnostics, precision therapies, and intelligent consultations, among others.
Jiangtao ZhangSun+4 more
doaj +2 more sources
Knowledge Graph Identification [PDF]
Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candidate facts into useful knowledge is a formidable challenge. In this paper, we show how uncertain extractions about entities and their relations can be transformed into a knowledge graph.
Hui Miao+3 more
openaire +2 more sources
Collective knowledge graph: meta knowledge transfer and federated graph reasoning
Collective knowledge graphs refer to knowledge graphs that are managed and maintained in a decentralized or distributed manner through group collaboration.Compared with the existing centrally managed knowledge graph, the collective knowledge graph has ...
Mingyang CHEN+4 more
doaj
A Survey on Knowledge Graph-Based Recommender Systems [PDF]
To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users’ preferences. Although numerous efforts have been made toward more personalized recommendations,
Qingyu Guo+6 more
semanticscholar +1 more source
Graph-Query Suggestions for Knowledge Graph Exploration [PDF]
We consider the task of exploratory search through graph queries on knowledge graphs. We propose to assist the user by expanding the query with intuitive suggestions to provide a more informative (full) query that can retrieve more detailed and relevant answers. To achieve this result, we propose a model that can bridge graph search paradigms with well-
Lissandrini, Matteo+3 more
openaire +6 more sources
Disease ontologies for knowledge graphs [PDF]
AbstractBackgroundData integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease clusters and finally build a representation of the chosen disease area.
Natalja Kurbatova, Rowan Swiers
openaire +4 more sources
Embedding Uncertain Temporal Knowledge Graphs
Knowledge graph (KG) embedding for predicting missing relation facts in incomplete knowledge graphs (KGs) has been widely explored. In addition to the benchmark triple structural information such as head entities, tail entities, and the relations between
Tongxin Li+5 more
doaj +1 more source
When Radiology Report Generation Meets Knowledge Graph [PDF]
Automatic radiology report generation has been an attracting research problem towards computer-aided diagnosis to alleviate the workload of doctors in recent years.
Yixiao Zhang+5 more
semanticscholar +1 more source
Structuring Knowledge in a Graph [PDF]
The idea that knowledge is a commodity that can be used by machines in various ways forms the entry to our discussion of knowledge based systems. We will limit ourselves to those systems that are in an active dialogue with their human user. As a consequence, the use and structuring of knowledge in autonomous systems, like robots or visual pattern ...
Frans Stokman, Pieter H. de Vries
openaire +3 more sources