Shin, Kijung
- MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
2019/11/11 by Siddharth Bhatia, Bhatia, Siddharth, Bryan Hooi +7 · 1 voice · 1 citation
#cs.LG #cs.AI
- RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
2023/06/29 by Berto, Federico, Hua, Chuanbo, Park, Junyoung +30 · 16 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Survey on Hypergraph Mining: Patterns, Tools, and Generators
2024/01/16 by Geon Lee, Fanchen Bu, Lee, Geon +5 · 10 citations
Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Data Visualization and Analytics #Data Mining Algorithms and Applications
- How Do Hyperedges Overlap in Real-World Hypergraphs? -- Patterns, Measures, and Generators
2021/01/19 by Geon Lee, Minyoung Choe, Lee, Geon +3 · 5 citations
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Graph Theory and Algorithms #Social and Information Networks (cs.SI)
- Evolution of Real-world Hypergraphs: Patterns and Models without Oracles
2020/08/28 by Yunbum Kook, Kook, Yunbum, Jihoon Ko +3 · 4 citations
Computer Science · Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Mental Health Research Topics #Social and Information Networks (cs.SI)
- DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
2017/06/11 by Kijung Shin, Bryan Hooi, Shin, Kijung +5 · 3 citations
Computer Science · Mathematics · #Algorithms and Data Compression #Computational Physics and Python Applications #Databases (cs.DB) #FOS: Computer and information sciences #H.2.8 #Social and Information Networks (cs.SI) #Tensor decomposition and applications
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
2022/06/09 by Dongjin Lee, Kijung Shin, Lee, Dongjin +1 · 4 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AHP: Learning to Negative Sample for Hyperedge Prediction
2022/04/13 by Hwang, Hyunjin, Lee, Seungwoo, Park, Chanyoung +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
2023/08/21 by Dongjin Lee, Juho Lee, Lee, Dongjin +3 · 4 citations
Computer Science · Physics and Astronomy · Social Sciences · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Terrorism, Counterterrorism, and Political Violence
- TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
2025/03/02 by Jiang, Yushan, Yu, Wenchao, Lee, Geon +5 · 11 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
2025/02/17 by Geon Lee, Wenchao Yu, Lee, Geon +7 · 9 citations
Computer Science · #Topic Modeling #Advanced Text Analysis Techniques #Time Series Analysis and Forecasting
- THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
2021/09/17 by Lee, Geon, Shin, Kijung · 2 citations
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
2024/02/07 by Lee, Soo Yong, Kim, Sunwoo, Bu, Fanchen +3 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
2024/03/31 by Sunwoo Kim, Shinhwan Kang, Kim, Sunwoo +9 · 5 citations
Computer Science · #Text and Document Classification Technologies #Advanced Graph Neural Networks
- Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
2024/05/31 by Langzhang Liang, Liang, Langzhang, Sunwoo Kim +9 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Machine Learning and Algorithms #Text and Document Classification Technologies
- Towards Deep Attention in Graph Neural Networks: Problems and Remedies
2023/06/04 by Soo Yong Lee, Fanchen Bu, Lee, Soo Yong +5 · 2 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
- WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams
2017/09/10 by Shin, Kijung · 1 citation
#Data Structures and Algorithms (cs.DS) #Databases (cs.DB) #FOS: Computer and information sciences #G.2.2 #H.2.8
- VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
2023/12/19 by Kim, Taeri, Heo, Jiho, Kim, Hongil +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
2024/02/19 by Lee, Jongha, Kim, Sunwoo, Shin, Kijung · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
2020/11/26 by Yoon, Minji, Hooi, Bryan, Shin, Kijung +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
2024/05/14 by Fanchen Bu, Bu, Fanchen, Hyeonsoo Jo +7 · 2 citations
Computer Science · #Constraint Satisfaction and Optimization
- Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
2024/10/27 by Sunwoo Kim, Kim, Sunwoo, Soo Yong Lee +11 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- On the Persistence of Higher-Order Interactions in Real-World Hypergraphs
2022/01/04 by Hyunjin Choo, Kijung Shin, Choo, Hyunjin +1 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Databases (cs.DB) #FOS: Computer and information sciences #Opinion Dynamics and Social Influence #Social and Information Networks (cs.SI)
- FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
2024/03/19 by D. Hwang, Hwang, Dongyeong, Hyunju Kim +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Multi-Behavior Recommender Systems: A Survey
2025/03/10 by Kim, Kyungho, Kim, Sunwoo, Lee, Geon +2 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Hypergraph Motifs and Their Extensions Beyond Binary
2023/10/24 by Geon Lee, Seokbum Yoon, Lee, Geon +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · Computer Science · #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #Data Visualization and Analytics
- NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
2023/02/09 by Tae-Hyung Kwon, Jihoon Ko, Kwon, Taehyung +5 · 1 citation
Mathematics · Computer Science · #Tensor decomposition and applications #Parallel Computing and Optimization Techniques #Graph Theory and Algorithms
- TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
2023/09/19 by Tae-Hyung Kwon, Kwon, Taehyung, Jihoon Ko +5 · 1 citation
Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
- Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
2022/10/11 by Sunwoo Kim, Kim, Sunwoo, Minyoung Choe +5 · 1 citation
Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Graph Theory and Algorithms #Data Visualization and Analytics
- Four-set Hypergraphlets for Characterization of Directed Hypergraphs
2023/11/24 by Heechan Moon, Moon, Heechan, Hyunju Kim +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #Computational Drug Discovery Methods #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences