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Trans4E: Link Prediction on Scholarly Knowledge Graphs

Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann
2021 Neurocomputing  
In recent years, link prediction approaches based on Knowledge Graph Embedding models became the first aid for this issue.  ...  Trans4E was applied on two large-scale knowledge graphs, the Academia/Industry DynAmics (AIDA) and Microsoft Academic Graph (MAG), for completing the information about Fields of Study (e.g., 'neural networks  ...  In conclusion, a larger vector space appears to be crucial to properly represent these kinds of relations and perform high-quality link prediction on AIDA and similar scholarly knowledge graphs.  ... 
doi:10.1016/j.neucom.2021.02.100 fatcat:j4iuey3rzreppow2zt3qnusjvm

Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs [article]

Angelo Salatino and Andrea Mannocci and Francesco Osborne
2021 arXiv   pre-print
This chapter presents an innovative framework for detecting, analysing, and forecasting research topics based on a large-scale knowledge graph characterising research articles according to the research  ...  In the last years, we saw the emergence of several publicly-available and large-scale Scientific Knowledge Graphs fostering the development of many data-driven approaches for performing quantitative analyses  ...  graphs (e.g., TGK [65] ), NLP frameworks for entity extraction [20] , knowledge graph embeddings (e.g., Trans4E [49] ), tools for identify domain experts (e.g., VeTo [80] ), and systems for predicting  ... 
arXiv:2106.12875v1 fatcat:3gqwimw26zdhrcrghcubcrdr3a

AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry

Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta
2021 Quantitative Science Studies  
In this paper, we introduce the Academia/Industry DynAmics (AIDA) Knowledge Graph, which describes 21M publications and 8M patents according to the research topics drawn from the Computer Science Ontology  ...  We evaluated the different parts of the generation pipeline on a manually crafted gold standard yielding competitive results.  ...  We are also working on link prediction techniques for graph completion, that can be used to automatically classify the affiliations according to contextual information in the knowledge graph.  ... 
doi:10.1162/qss_a_00162 fatcat:diw25svrw5hlvddin4truogq3y