Temporal locality-aware sampling for accurate triangle counting in real graph streams. - Dongjin Lee 003; Kijung Shin; Christos Faloutsos (VLDB J., 2020)

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. - Taehyung Kwon; Inkyu Park 001; Dongjin Lee 003; Kijung Shin (ICDE, 2021)

Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers. - Dongjin Lee 003; Kijung Shin (ICDE, 2021)

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs. - Dongjin Lee 003; Kijung Shin (AAAI, 2023)

Graphlets over Time: A New Lens for Temporal Network Analysis. - Deukryeol Yoon; Dongjin Lee 003; Minyoung Choe; Kijung Shin (CoRR, 2023)

Datasets, tasks, and training methods for large-scale hypergraph learning. - Sunwoo Kim 006; Dongjin Lee 003; Yul Kim; Jungho Park; Taeho Hwang; Kijung Shin (Data Min. Knowl. Discov., 2023)

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. - Dongjin Lee 003; Juho Lee 001; Kijung Shin (AAAI, 2024)

Graphlets over Time: A New Lens for Temporal Network Analysis. - Deukyeol Yoon; Dongjin Lee 003; Minyoung Choe; Kijung Shin (PKDD/ECML Workshops (4), 2024)