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Shin, Kijung (신기정)
부교수, (김재철AI대학원)

http://kijungs.github.io

Research Area
Graph Mining, Social Network Analysis, Scalable Machine Learning
Co-researchers
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    Keyword Cloud

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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Representative and Back-In-Time Sampling from Real-world Hypergraphs

    Choe, Min Young; Yoo, Jaemin; Lee, Geon; et al, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.18, no.6, 2024-07

    2
    Deep learning model for heavy rainfall nowcasting in South Korea

    Oh, Seok-Geun; Son, Seok-Woo; Kim, Young-Ha; et al, WEATHER AND CLIMATE EXTREMES, v.44, 2024-06

    3
    Hypergraph motifs and their extensions beyond binary

    Lee, Geon; Yoon, S; Ko, Jihoon; et al, VLDB JOURNAL, v.33, no.3, pp.625 - 665, 2024-05

    4
    Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

    Chun, Jaewan; Lee, Geon; Shin, Kijung; et al, DATA MINING AND KNOWLEDGE DISCOVERY, v.38, no.3, pp.1222 - 1257, 2024-05

    5
    Datasets, tasks, and training methods for large-scale hypergraph learning

    Kim, Sunwoo; Lee, Dongjin; Kim, Yul; et al, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2216 - 2254, 2023-11

    6
    Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm

    Bu, Fanchen; Kang, Shinhwan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2139 - 2191, 2023-11

    7
    Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications

    Bu, Fanchen; Lee, Geon; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2389 - 2437, 2023-11

    8
    Improving the core resilience of real-world hypergraphs

    Do, Manh Tuan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2438 - 2493, 2023-11

    9
    Reciprocity in directed hypergraphs: measures, findings, and generators

    Kim, Sunwoo; Choe, Minyoung; Yoo, Jaemin; et al, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2330 - 2388, 2023-11

    10
    Two-Stage Training of Graph Neural Networks for Graph Classification

    Do, Manh Tuan; Park, Noseong; Shin, Kijung, NEURAL PROCESSING LETTERS, v.55, no.3, pp.2799 - 2823, 2023-06

    11
    Evaluation of Deep-Learning-Based Very Short-Term Rainfall Forecasts in South Korea

    Oh, Seok-Geun; Park, Chanil; Son, Seok-Woo; et al, ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, v.59, no.2, pp.239 - 255, 2023-05

    12
    Temporal hypergraph motifs

    Lee, Geon; Shin, Kijung, KNOWLEDGE AND INFORMATION SYSTEMS, v.65, no.4, pp.1549 - 1586, 2023-04

    13
    전장 상황을 묘사하는 가설들을 위한 준지도 군집화 알고리즘

    조현수; 주현진; 안종철; et al, 데이타베이스연구, v.39, no.1, pp.72 - 84, 2023-04

    14
    부호형 그래프 요약 기법

    조현수; 주현진; 안종철; et al, 데이타베이스연구, v.38, no.3, pp.3 - 15, 2022-12

    15
    강건하고 공정하며 확장 가능한 데이터 중심의 연속 학습

    이재길; 신기정; 박찬영; et al, 정보과학회지, v.40, no.11, pp.53 - 58, 2022-11

    16
    Growth patterns and models of real-world hypergraphs

    Ko, Jihoon; Kook, Yunbum; Shin, Kijung, KNOWLEDGE AND INFORMATION SYSTEMS, v.64, no.11, pp.2883 - 2920, 2022-11

    17
    전장 상황을 묘사하는 가설 간 관련성을 식별하기 위한 계층적 그래프 신경망

    조현수; 주현진; 진소연; et al, 데이타베이스연구, v.38, no.2, pp.18 - 28, 2022-08

    18
    전장에서의 적대적 대상에 대한 행위 인식 및 위협 수준 분석 알고리즘 리뷰

    이수용; 김주원; 심상흔; et al, 데이타베이스연구, v.38, no.2, pp.29 - 41, 2022-08

    19
    Real-Time Anomaly Detection in Edge Streams

    Bhatia, Siddharth; Liu, Rui; Hooi, Bryan; et al, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.16, no.4, 2022-08

    20
    Effective training strategies for deep-learning-based precipitation nowcasting and estimation

    Ko, Jihoon; Lee, Kyuhan; Hwang, Hyunjin; et al, COMPUTERS & GEOSCIENCES, v.161, 2022-04
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