Shin, Kijung

27 publications

AAAI 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin

NeurIPS 2025 Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding Sunwoo Kim, Hyunjin Hwang, Kijung Shin

ICML 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

NeurIPS 2025 RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases Dongwon Choi, Sunwoo Kim, Juyeon Kim, Kyungho Kim, Geon Lee, Shinhwan Kang, Myunghwan Kim, Kijung Shin

AAAI 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen

NeurIPS 2025 TimeXL: Explainable Multi-Modal Time Series Prediction with LLM-in-the-Loop Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen

ICML 2024 Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin

CVPR 2024 FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin

ICLR 2024 HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

NeurIPS 2024 Rethinking Reconstruction-Based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin

ICML 2024 Sign Is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

AAAI 2024 Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs Dongjin Lee, Juho Lee, Kijung Shin

ICML 2024 Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin

AAAI 2024 VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim

AAAI 2023 I'm Me, We're Us, and I'm Us: Tri-Directional Contrastive Learning on Hypergraphs Dongjin Lee, Kijung Shin

WACV 2023 Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition Junmo Cho, Seungjae Han, Eun-Seo Cho, Kijung Shin, Young-Gyu Yoon

ICML 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin

IJCAI 2022 HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams Geon Lee, Minyoung Choe, Kijung Shin

AAAI 2022 Meta-Learning for Online Update of Recommender Systems Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

AAAI 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee

AAAI 2020 Midas: Microcluster-Based Detector of Anomalies in Edge Streams Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

AAAI 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos

ECML-PKDD 2018 ONE-M: Modeling the Co-Evolution of Opinions and Network Connections Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla

ECML-PKDD 2018 Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos

IJCAI 2017 Why You Should Charge Your Friends for Borrowing Your Stuff Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia

ECML-PKDD 2017 zooRank: Ranking Suspicious Entities in Time-Evolving Tensors Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer

ECML-PKDD 2016 M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees Kijung Shin, Bryan Hooi, Christos Faloutsos