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Knowledge graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …
recently garnered significant attention from both industry and academia in scenarios that …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive …
Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …
enhance their experience and interest in innumerable online applications by streamlining …
Deriving validity time in knowledge graph
J Leblay, MW Chekol - Companion proceedings of the the web …, 2018 - dl.acm.org
Knowledge Graphs (KGs) are a popular means to represent knowledge on the Web,
typically in the form of node/edge labelled directed graphs. We consider temporal KGs, in …
typically in the form of node/edge labelled directed graphs. We consider temporal KGs, in …
YAGO: A multilingual knowledge base from wikipedia, wordnet, and geonames
YAGO is a large knowledge base that is built automatically from Wikipedia, WordNet and
GeoNames. The project combines information from Wikipedias in 10 different languages into …
GeoNames. The project combines information from Wikipedias in 10 different languages into …
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
We present an automatic approach to the construction of BabelNet, a very large, wide-
coverage multilingual semantic network. Key to our approach is the integration of …
coverage multilingual semantic network. Key to our approach is the integration of …
KBQA: learning question answering over QA corpora and knowledge bases
Question answering (QA) has become a popular way for humans to access billion-scale
knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and …
knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and …
[PDF][PDF] Information extraction over structured data: Question answering with freebase
Answering natural language questions using the Freebase knowledge base has recently
been explored as a platform for advancing the state of the art in open domain semantic …
been explored as a platform for advancing the state of the art in open domain semantic …