Results 31 to 40 of about 1,402,234 (289)
Refcat: The Internet Archive Scholar Citation Graph
CoRR, 2021 As part of its scholarly data efforts, the Internet Archive (IA) releases a first version of a citation graph dataset, named refcat, derived from scholarly publications and additional data sources. It is composed of data gathered by the fatcat cataloging project (the catalog that underpins IA Scholar), related web-scale crawls targeting primary and ...
Martin Czygan +2 more
openaire +2 more sources
Scientific Discovery as Link Prediction in Influence and Citation Graphs
TextGraphs@NAACL-HLT, 2018 We introduce a machine learning approach for the identification of “white spaces” in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as “CTCF activates FOXA1”, which ...
Fan Luo +3 more
semanticscholar +1 more source
Finding Communities in Site Web-Graphs and Citation Graphs. [PDF]
CoRR, 2006 The Web is a typical example of a social network. One of the most intriguing features of the Web is its self-organization behavior, which is usually faced through the existence of communities. The discovery of the communities in a Web-graph can be used to improve the effectiveness of search engines, for purposes of prefetching, bibliographic citation ...
openaire +2 more sources
Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network
Journal of Social Computing, 2021 Network representation learning algorithms, which aim at automatically encoding graphs into low-dimensional vector representations with a variety of node similarity definitions, have a wide range of downstream applications.
Weiwei Gu +3 more
doaj +1 more source
Reflections on the global citation graph
, 2021 In his call for open citations, Dario Taraborelli hailed the scholarly citation graph (in which the nodes (vertices) are individual academic publications and the links (edges) represent bibliographic citations from one publication to another) as one of humankind's most important intellectual achievements.
openaire +2 more sources
Mathematics, 2023 Ensuring the integrity of scientific literature is essential for advancing knowledge and research. However, the credibility and trustworthiness of scholarly publications are compromised by manipulated citations. Traditional methods, such as manual inspection and basic statistical analyses, have limitations in detecting intricate patterns and subtle ...
Renata Avros +4 more
openaire +2 more sources
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Automatically extracting key information from scientific documents has the potential to help scientists work more efficiently and accelerate the pace of scientific progress. Prior work has considered extracting document-level entity clusters and relations end-to-end from raw scientific text, which can improve literature search and help identify methods
Vijay Viswanathan 0002 +2 more
openaire +2 more sources
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information RetrievalResearch question answering requires accurate retrieval and contextual understanding of scientific literature. However, current Retrieval-Augmented Generation (RAG) methods often struggle to balance complex document relationships with precise information
Yuntong Hu +6 more
semanticscholar +1 more source
Token-Curated Registry with Citation Graph
Ledger, 2019 In this study, we aim to incorporate the expertise of anonymous curators into a token-curated registry (TCR), a decentralized recommender system for collecting a list of high-quality content. This registry is important, because previous studies on TCRs have not specifically focused on technical content, such as academic papers and patents, whose ...
Kensuke Ito, Hideyuki Tanaka
openaire +4 more sources
Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020
Discrete Dynamics in Nature and Society, 2021 Since 2007, knowledge graphs, an important research tool, have been applied to education and many other disciplines. This paper firstly overviews the application of knowledge graphs in education and then samples the knowledge graph applications in CSSCI-
Yanmei Mao
doaj +1 more source