This dataset contains an open and curated scholarly graph we built as a training and test set for data discovery, data connection, author disambiguation, and link prediction tasks. This graph represents the European Marine Science community included in the OpenAIRE Graph. The nodes of the graph we release represent publications, datasets, software, and authors respectively; edges interconnecting research products always have the publication as source, and the dataset/software as target. In addition, edges are labeled with semantics that outline whether the publication is referencing, citing, documenting, or supplementing the related outcome. To curate and enrich nodes metadata and edges semantics, we relied on the information extracted from...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
The widespread use of Online Social Networks has also involved the scientific field in which researc...
Introduction Numerous scientific journal articles related to COVID-19 have been rapidly published, m...
This dataset contains an open and curated scholarly graph we built as a training and test set for da...
Knowledge graphs represent the meaning of properties of real-world entities and relationships among ...
Several scholarly knowledge graphs have been proposed to model and analyze the academic landscape. H...
Graphs are the fundamental concept behind both linked data and the semantic web. Research networks a...
This archive contain all the files needed to instantiate a scholarly graph interconnecting literatur...
We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billi...
The OpenAIRE Graph is an open collection of metadata about entities of the research life cycle (publ...
Scholarly works, including datasets, grey literature and journal articles, can be registered with a ...
The continuous growth of scientific literature brings innovations and, at the same time, raises new ...
This project presents a graph-based network of the co-usage, understood as being cited by the same s...
The OpenAIRE Graph is exported as several dataseta, so you can download the parts you are interested...
Paper-author bipartite graph created from Semantic Scholar's Open Research Corpus, version 2018-05-0...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
The widespread use of Online Social Networks has also involved the scientific field in which researc...
Introduction Numerous scientific journal articles related to COVID-19 have been rapidly published, m...
This dataset contains an open and curated scholarly graph we built as a training and test set for da...
Knowledge graphs represent the meaning of properties of real-world entities and relationships among ...
Several scholarly knowledge graphs have been proposed to model and analyze the academic landscape. H...
Graphs are the fundamental concept behind both linked data and the semantic web. Research networks a...
This archive contain all the files needed to instantiate a scholarly graph interconnecting literatur...
We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billi...
The OpenAIRE Graph is an open collection of metadata about entities of the research life cycle (publ...
Scholarly works, including datasets, grey literature and journal articles, can be registered with a ...
The continuous growth of scientific literature brings innovations and, at the same time, raises new ...
This project presents a graph-based network of the co-usage, understood as being cited by the same s...
The OpenAIRE Graph is exported as several dataseta, so you can download the parts you are interested...
Paper-author bipartite graph created from Semantic Scholar's Open Research Corpus, version 2018-05-0...
The dataset contains graphs in GML, GraphML, and a simple JSON format. For each of the following la...
The widespread use of Online Social Networks has also involved the scientific field in which researc...
Introduction Numerous scientific journal articles related to COVID-19 have been rapidly published, m...