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Search: "[ keyword: Graph Neural Network ]" (5)
Efficient Graph Convolutional Networks Update for Expanded Single Large Graph
Song Jee Yeon, Lee Ki Yong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 12, pp. 1084-1090,
Dec.
2025
10.3745/TKIPS.2025.14.12.1084
Keywords: Graph Neural Networks, Expanded Single Large Graph, Fine-Tuning
Keywords: Graph Neural Networks, Expanded Single Large Graph, Fine-Tuning
Node Embedding Unlearning for Efficient Node Deletion in Graph Convolutional Networks
Lee Jiwon, Lee Ki Yong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 11, pp. 967-974,
Nov.
2025
https://doi.org/10.3745/TKIPS.2025.14.11.967
Keywords: Machine Unlearning, Graph Unlearning, Graph Convolutional Network, Graph Neural Network, Graph Embedding
Keywords: Machine Unlearning, Graph Unlearning, Graph Convolutional Network, Graph Neural Network, Graph Embedding
Ppormer: A PPR-based Diffusion Transformer for Effective Node Representation Learning on Weighted Graphs
Park Siyeon, Lee Ki Yong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 372-378,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.372
Keywords: Graph Neural Networks, Weighted Graphs, Node Representation, Diffusion Transformer, Attention Mechanism
Keywords: Graph Neural Networks, Weighted Graphs, Node Representation, Diffusion Transformer, Attention Mechanism
Graph Reasoning and Context Fusion for Multi-Task, Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 8, pp. 319-330,
Aug.
2021
https://doi.org/10.3745/KTSDE.2021.10.8.319
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
Bilinear Graph Neural Network-Based Reasoning for Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 8, pp. 243-250,
Aug.
2020
https://doi.org/10.3745/KTSDE.2020.9.8.243
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
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- Vol. 12, No. 3 (Mar. 2023)
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- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
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- Vol. 2, No. 1 (Jan. 2013)
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).