Results 21 to 30 of about 1,402,234 (289)
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction [PDF]
Information Processing & Management, 2023 The potential impact of a paper is often quantified by how many citations it will receive. However, most commonly used models may underestimate the influence of newly published papers over time, and fail to encapsulate this dynamics of citation network ...
Guoxiu He +5 more
semanticscholar +1 more source
Making communities show respect for order
Applied Network Science, 2020 In this work we give a community detection algorithm in which the communities both respects the intrinsic order of a directed acyclic graph and also finds similar nodes.
Vaiva Vasiliauskaite, Tim S. Evans
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Expanding the Citation Graph for Data Citations. [PDF]
, 2022 The Citation Graph (CG) is a computational artifact widely used to represent the domain of published literature. There is an increasing demand to treat the publication of data in the same way that we treat conventional publications. It should be possible to cite data for the same reasons that is is necessary to cite other publications. In this paper we
Peter Buneman +3 more
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Understanding the domain of driving distraction with knowledge graphs
PLoS ONE, 2022 This paper aims to provide insight into the driving distraction domain systematically on the basis of scientific knowledge graphs. For this purpose, 3,790 documents were taken into consideration after retrieving from Web of Science Core Collection and ...
Wenxia Xu, Lei Feng, Jun Ma
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Multiresolution equivariant graph variational autoencoder
Machine Learning: Science and Technology, 2023 In this paper, we propose Multiresolution Equivariant Graph Variational Autoencoders (MGVAE), the first hierarchical generative model to learn and generate graphs in a multiresolution and equivariant manner. At each resolution level, MGVAE employs higher
Truong Son Hy, Risi Kondor
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CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization [PDF]
The Web Conference, 2023 Citation graphs can be helpful in generating high-quality summaries of scientific papers, where references of a scientific paper and their correlations can provide additional knowledge for contextualising its background and main contributions.
Zheheng Luo, Qianqian Xie, S. Ananiadou
semanticscholar +1 more source
Citation Graph Based Ranking in Invenio [PDF]
, 2010 Invenio is the web-based integrated digital library system developed at CERN. Within this framework, we present four types of ranking models based on the citation graph that complement the simple approach based on citation counts: time-dependent citation counts, a relevancy ranking which extends the PageRank model, a time-dependent ranking which ...
Ludmila Marian +3 more
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Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs [PDF]
arXiv.org, 2023 Text-attributed Graphs (TAGs) are commonly found in the real world, such as social networks and citation networks, and consist of nodes represented by textual descriptions.
Xuanwen Huang +6 more
semanticscholar +1 more source
Graph Embedding for Citation Recommendation
CoRR, 2018 arXiv admin note: text overlap with arXiv:1607.00653, arXiv:1403.6652, arXiv:1405.4053 by other ...
Haofeng Jia, Erik Saule
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Enhancing Scientific Papers Summarization with Citation Graph
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Previous work for text summarization in scientific domain mainly focused on the content of the input document, but seldom considering its citation network. However, scientific papers are full of uncommon domain-specific terms, making it almost impossible for the model to understand its true meaning without the help of the relevant research community ...
Chenxin An +5 more
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