Kijung Shin

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 139

Top Venues

Publications

Geon Lee, Fanchen Bu, Tina Eliassi-Rad, Kijung Shin
A Survey on Hypergraph Mining: Patterns, Tools, and Generators. CoRR (2024)
Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
Self-Guided Robust Graph Structure Refinement. CoRR (2024)
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR (2024)
Fanchen Bu, Kijung Shin
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms. CoRR (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. WWW (2023)
Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin
Datasets, tasks, and training methods for large-scale hypergraph learning. Data Min. Knowl. Discov. 37 (6) (2023)
Fanchen Bu, Geon Lee, Kijung Shin
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications. Data Min. Knowl. Discov. 37 (6) (2023)
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. KDD (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. CoRR (2023)
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
Robust Graph Clustering via Meta Weighting for Noisy Graphs. CIKM (2023)
Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin
Hypergraph Motifs and Their Extensions Beyond Binary. CoRR (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. CoRR (2023)
Fanchen Bu, Shinhwan Kang, Kijung Shin
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm. Data Min. Knowl. Discov. 37 (6) (2023)
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
Towards Deep Attention in Graph Neural Networks: Problems and Remedies. CoRR (2023)
Geon Lee, Jaemin Yoo, Kijung Shin
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. KDD (2023)
Manh Tuan Do, Noseong Park, Kijung Shin
Two-Stage Training of Graph Neural Networks for Graph Classification. Neural Process. Lett. 55 (3) (2023)
Dongjin Lee, Kijung Shin
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs. AAAI (2023)
Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark. CIKM (2023)
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
Classification of Edge-dependent Labels of Nodes in Hypergraphs. KDD (2023)
Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. CoRR (2023)
Dongjin Lee, Juho Lee, Kijung Shin
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. CoRR (2023)
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
Robust Graph Clustering via Meta Weighting for Noisy Graphs. CoRR (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. CoRR (2023)
Manh Tuan Do, Kijung Shin
Improving the core resilience of real-world hypergraphs. Data Min. Knowl. Discov. 37 (6) (2023)
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
Classification of Edge-dependent Labels of Nodes in Hypergraphs. CoRR (2023)
Fanchen Bu, Kijung Shin
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms. KDD (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. ICDM (2023)
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
Towards Deep Attention in Graph Neural Networks: Problems and Remedies. ICML (2023)
Fanchen Bu, Shinhwan Kang, Kijung Shin
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm. CoRR (2023)
Deukryeol Yoon, Dongjin Lee, Minyoung Choe, Kijung Shin
Graphlets over Time: A New Lens for Temporal Network Analysis. CoRR (2023)
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. CoRR (2023)
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
Reciprocity in directed hypergraphs: measures, findings, and generators. Data Min. Knowl. Discov. 37 (6) (2023)
Fanchen Bu, Geon Lee, Kijung Shin
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications. CoRR (2023)
Geon Lee, Kijung Shin
Temporal hypergraph motifs. Knowl. Inf. Syst. 65 (4) (2023)
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. WWW (2023)
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. WWW (2023)
Junmo Cho, Seungjae Han, Eun-Seo Cho, Kijung Shin, Young-Gyu Yoon
Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition. WACV (2023)
Heechan Moon, Hyunju Kim, Sunwoo Kim, Kijung Shin
Four-set Hypergraphlets for Characterization of Directed Hypergraphs. CoRR (2023)
Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. CIKM (2022)
Geon Lee, Minyoung Choe, Kijung Shin
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams. IJCAI (2022)
Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim
Directed Network Embedding with Virtual Negative Edges. WSDM (2022)
Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. CoRR (2022)
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
MiDaS: Representative Sampling from Real-world Hypergraphs. CoRR (2022)
Jihoon Ko, Shinhwan Kang, Kijung Shin
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning. CoRR (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Seok-Geun Oh, Seok-Woo Son, Kijung Shin
Effective training strategies for deep-learning-based precipitation nowcasting and estimation. Comput. Geosci. 161 (2022)
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
MiDaS: Representative Sampling from Real-world Hypergraphs. WWW (2022)
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. WSDM (2022)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. CoRR (2022)
Shinhwan Kang, Kyuhan Lee, Kijung Shin
Are Edge Weights in Summary Graphs Useful? - A Comparative Study. CoRR (2022)
Hyunjin Choo, Kijung Shin
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs. SDM (2022)
Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin
AHP: Learning to Negative Sample for Hyperedge Prediction. SIGIR (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Seok-Geun Oh, Seok-Woo Son, Kijung Shin
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation. CoRR (2022)
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. ICDM (2022)
Shinhwan Kang, Kyuhan Lee, Kijung Shin
Are Edge Weights in Summary Graphs Useful? - A Comparative Study. PAKDD (1) (2022)
Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin
AHP: Learning to Negative Sample for Hyperedge Prediction. CoRR (2022)
Dongjin Lee, Kijung Shin
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs. CoRR (2022)
Hyunjin Choo, Kijung Shin
On the Persistence of Higher-Order Interactions in Real-World Hypergraphs. CoRR (2022)
Shinhwan Kang, Kyuhan Lee, Kijung Shin
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications. CoRR (2022)
Geon Lee, Chanyoung Park, Kijung Shin
Set2Box: Similarity Preserving Representation Learning for Sets. ICDM (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. AAAI (2022)
Kyuhan Lee, Jihoon Ko, Kijung Shin
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. ICDE (2022)
Shinhwan Kang, Kyuhan Lee, Kijung Shin
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications. ICDE (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. ICDM (Workshops) (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. CoRR (2022)
Jihoon Ko, Yunbum Kook, Kijung Shin
Growth patterns and models of real-world hypergraphs. Knowl. Inf. Syst. 64 (11) (2022)
Geon Lee, Jaemin Yoo, Kijung Shin
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. CIKM (2022)
Geon Lee, Minyoung Choe, Kijung Shin
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams. CoRR (2022)
Geon Lee, Chanyoung Park, Kijung Shin
Set2Box: Similarity Preserving Representation Learning of Sets. CoRR (2022)
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. CoRR (2022)
Geon Lee, Minyoung Choe, Kijung Shin
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. CoRR (2021)
Dongjin Lee, Kijung Shin
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers. ICDE (2021)
Geon Lee, Kijung Shin
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. ICDM (2021)
Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Kyuhan Lee, Jihoon Ko, Kijung Shin
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. CoRR (2021)
Seungjae Han, Eun-Seo Cho, Inkyu Park, Kijung Shin, Young-Gyu Yoon
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data. MICCAI (7) (2021)
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
DPGS: Degree-Preserving Graph Summarization. SDM (2021)
Geon Lee, Minyoung Choe, Kijung Shin
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. WWW (2021)
Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee
Learning to Pool in Graph Neural Networks for Extrapolation. CoRR (2021)
Dongjin Lee, Kijung Shin
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers. CoRR (2021)
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. AAAI (2021)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) (2021)
Geon Lee, Kijung Shin
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. CoRR (2021)
Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. CoRR (2021)
Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. ICDE (2021)
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. CoRR (2021)
Se-eun Yoon, HyungSeok Song, Kijung Shin, Yung Yi
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction. CoRR (2020)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI (2020)
Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. CoRR (2020)
Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
Structural Patterns and Generative Models of Real-world Hypergraphs. CoRR (2020)
Yunbum Kook, Jihoon Ko, Kijung Shin
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. ICDM (2020)
Geon Lee, Jihoon Ko, Kijung Shin
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. Proc. VLDB Endow. 13 (11) (2020)
Yunbum Kook, Jihoon Ko, Kijung Shin
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. CoRR (2020)
Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin
Structural Patterns and Generative Models of Real-world Hypergraphs. KDD (2020)
Dongjin Lee, Kijung Shin, Christos Faloutsos
Temporal locality-aware sampling for accurate triangle counting in real graph streams. VLDB J. 29 (6) (2020)
Jihoon Ko, Yunbum Kook, Kijung Shin
Incremental Lossless Graph Summarization. CoRR (2020)
Jihoon Ko, Yunbum Kook, Kijung Shin
Incremental Lossless Graph Summarization. KDD (2020)
Se-eun Yoon, HyungSeok Song, Kijung Shin, Yung Yi
How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction. WWW (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kijung Shin