Seoul, South Korea

Kijung Shin

Expert
@kijungs

Associate Professor at KAIST

kijungs.github.io/

dcube. D-Cube: Dense-Block Detection in Terabyte-Scale Tensors (WSDM'17 & Frontiers in Big Data'21)

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mzoom. M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees (ECML/PKDD'16 & TKDD'18)

27

densealert. DenseAlert: Incremental Dense-SubTensor Detection in Tensor Streams (KDD'17)

19

corescope. CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)

16

thinkd. Think before You Discard: Accurate Triangle Counting in Graph Streams with Deletions (ECML/PKDD'18 & TKDD'20)

7

waiting_room. WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams (ICDM'17 & VLDBJ'20)

5

trifly. Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams (PAKDD'18)

4

cocos. CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams (TKDD'21)

3

kijung_network_ml. Jupyter Notebook

1

kijungs.github.io. https://kijungs.github.io

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