Results 241 to 250 of about 1,402,234 (289)

Critical thresholds in co-citation graphs

Journal of the American Society for Information Science, 1985
AbstractUsing the Random Graph Hypothesis, the statistical validity of co‐citation graphs has been investigated as a function of co‐citation strength for a given value of citation frequency. The results show that for both high and low values of co‐citation strength the partition of cited documents produced by the co‐citation relationship may be ...
W. M. Shaw
semanticscholar   +2 more sources

Global citation recommendation using knowledge graphs

Journal of Intelligent & Fuzzy Systems, 2018
Scholarly search engines, reference management tools, and academic social networks enable modern researchers to organize their scientific libraries. Moreover, they often provide recommendations for scientific publications that might be of interest to researchers.
Frederick Ayala-Gómez, B. Daróczy, A. Benczúr, M. Mathioudakis, A. Gionis   +4 more
semanticscholar   +3 more sources

The evolution of citation graphs in artificial intelligence research

Nature Machine Intelligence, 2019
As artificial intelligence (AI) applications see wider deployment, it becomes increasingly important to study the social and societal implications of AI adoption. Therefore, we ask: are AI research and the fields that study social and societal trends keeping pace with each other?
M. Frank, Dashun Wang, M. Cebrián, Iyad Rahwan   +3 more
semanticscholar   +3 more sources

Multi-level Exploration of Citation Graphs

European Conference on Research and Advanced Technology for Digital Libraries, 2004
In previous work, we proposed a focus-based multi-level clustering technique. It consists in computing a particular clustered graph from a given graph and a focus. The resulting clustered graph is called multi-level outline tree. It is a tree whose meta-nodes are sub-sets of nodes.
François Boutin, Mountaz Hascoët
semanticscholar   +3 more sources

Node similarity in the citation graph

Knowledge and Information Systems, 2006
Published scientific articles are linked together into a graph, the citation graph, through their citations. This paper explores the notion of similarity based on connectivity alone, and proposes several algorithms to quantify it. Our metrics take advantage of the local neighborhoods of the nodes in the citation graph.
Wangzhong Lu, Jeannette C. M. Janssen, Evangelos E. Milios, Nathalie Japkowicz, Yongzheng Zhang 0001   +4 more
openaire   +1 more source

Rooted citation graphs density metrics for research papers influence evaluation

J. Informetrics, 2019
Traditionally, citation count has served as the main evaluation measure for a paper's importance and influence. In turn, many evaluations of authors, institutions and journals are based on aggregations upon papers (e.g. h-index). In this work, we explore
C. Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, M. Vazirgiannis   +4 more
semanticscholar   +1 more source

Graph Representations and Applications of Citation Networks

Proceedings of the 2014 Australasian Document Computing Symposium, 2014
A citation network is a structure of linked documents that share a pool of authors and a pool of subjects, and via citations, provide references to related documents that have preceded them in the chronology of research. In this paper we review citation networks, and survey and categorize the operations that extract data from them.
Matthias Petri, Alistair Moffat, Anthony Wirth   +2 more
openaire   +1 more source

Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph

2020 IEEE International Conference on Big Data (Big Data), 2020
This paper details the methodologies and decisions making processes used while developing the attacking and defending models for the Graph Adversarial Attacks and Defense applied to a large citation graph. To handle the large graphs, our attack strategy is twofold: 1) randomly attack the structure first, 2) keep the structure unchanged, then continue ...
Chau Pham 0001, Vung Pham, Tommy Dang
openaire   +1 more source

A graph-based taxonomy of citation recommendation models

Artificial Intelligence Review, 2020
Recommender systems have been used since the beginning of the Web to assist users with personalized suggestions related to past preferences for items or products including books, movies, images, research papers and web pages. The availability of millions research articles on various digital libraries makes it difficult for a researcher to find relevant
Zafar Ali, Guilin Qi, Pavlos Kefalas, Waheed Ahmad Abro, Bahadar Ali   +4 more
openaire   +1 more source

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs

arXiv.org, 2023
Text-attributed graphs (TAGs) are prevalent on the web and research over TAGs such as citation networks, e-commerce networks and social networks has attracted considerable attention in the web community.
Yi Qin, Xin Wang, Ziwei Zhang, Wenwu Zhu
semanticscholar   +1 more source