Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDKijung Shin
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
[i21]Geon Lee, Minyoung Choe, Kijung Shin:
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. CoRR abs/2101.07480 (2021)- [i20]Dongjin Lee, Kijung Shin:
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers. CoRR abs/2102.08466 (2021) - [i19]Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin:
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. CoRR abs/2102.11517 (2021) - 2020
- [j9]Jiyuan Zhang, Jinoh Oh, Kijung Shin
, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
Fast and memory-efficient algorithms for high-order Tucker decomposition. Knowl. Inf. Syst. 62(7): 2765-2794 (2020) - [j8]Geon Lee, Jihoon Ko, Kijung Shin:
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. Proc. VLDB Endow. 13(11): 2256-2269 (2020) - [j7]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): 12:1-12:39 (2020) - [j6]Dongjin Lee, Kijung Shin, Christos Faloutsos:
Temporal locality-aware sampling for accurate triangle counting in real graph streams. VLDB J. 29(6): 1501-1525 (2020) - [c28]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI 2020: 3242-3249 - [c27]Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - [c26]Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park:
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. ASONAM 2020: 204-211 - [c25]Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. ICDM 2020: 272-281 - [c24]Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin:
SSumM: Sparse Summarization of Massive Graphs. KDD 2020: 144-154 - [c23]Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin:
Structural Patterns and Generative Models of Real-world Hypergraphs. KDD 2020: 176-186 - [c22]Jihoon Ko, Yunbum Kook, Kijung Shin:
Incremental Lossless Graph Summarization. KDD 2020: 317-327 - [c21]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: 2627-2633 - [i18]Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park:
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. CoRR abs/2001.08853 (2020) - [i17]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 abs/2001.11181 (2020) - [i16]Geon Lee, Jihoon Ko, Kijung Shin:
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. CoRR abs/2003.01853 (2020) - [i15]Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin:
SSumM: Sparse Summarization of Massive Graphs. CoRR abs/2006.01060 (2020) - [i14]Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin:
Structural Patterns and Generative Models of Real-world Hypergraphs. CoRR abs/2006.07060 (2020) - [i13]Jihoon Ko, Yunbum Kook, Kijung Shin:
Incremental Lossless Graph Summarization. CoRR abs/2006.09935 (2020) - [i12]Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. CoRR abs/2008.12729 (2020) - [i11]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2009.08452 (2020) - [i10]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020) - [i9]Manh Tuan Do, Noseong Park, Kijung Shin:
Two-stage Training of Graph Neural Networks for Graph Classification. CoRR abs/2011.05097 (2020) - [i8]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR abs/2011.13085 (2020)
2010 – 2019
- 2019
- [c20]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD 2019: 647-657 - [c19]Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM 2019: 621-629 - [c18]Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan:
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. WWW 2019: 1679-1690 - [i7]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR abs/1911.04464 (2019) - 2018
- [j5]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. 54(3): 677-710 (2018) - [j4]Kijung Shin, Bryan Hooi, Christos Faloutsos:
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. ACM Trans. Knowl. Discov. Data 12(3): 28:1-28:30 (2018) - [c17]Kijung Shin, Mohammad Hammoud, Euiwoong Lee, Jinoh Oh, Christos Faloutsos:
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. PAKDD (3) 2018: 651-663 - [c16]Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla:
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) 2018: 122-140 - [c15]Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. ECML/PKDD (2) 2018: 141-157 - [c14]Kijung Shin, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, Hema Raghavan:
Discovering Progression Stages in Trillion-Scale Behavior Logs. WWW 2018: 1765-1774 - [i6]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. CoRR abs/1802.01065 (2018) - [i5]Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. CoRR abs/1802.04249 (2018) - 2017
- [j3]Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos:
Graph-Based Fraud Detection in the Face of Camouflage. ACM Trans. Knowl. Discov. Data 11(4): 44:1-44:26 (2017) - [j2]Kijung Shin, Lee Sael, U Kang:
Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. 29(1): 100-113 (2017) - [c13]Kijung Shin:
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams. ICDM 2017: 1087-1092 - [c12]Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia:
Why You Should Charge Your Friends for Borrowing Your Stuff. IJCAI 2017: 395-401 - [c11]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. KDD 2017: 1057-1066 - [c10]Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer:
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) 2017: 68-84 - [c9]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. WSDM 2017: 681-689 - [c8]Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
S-HOT: Scalable High-Order Tucker Decomposition. WSDM 2017: 761-770 - [i4]Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia:
Why You Should Charge Your Friends for Borrowing Your Stuff. CoRR abs/1705.07343 (2017) - [i3]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. CoRR abs/1706.03374 (2017) - [i2]Kijung Shin:
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams. CoRR abs/1709.03147 (2017) - 2016
- [j1]Jinhong Jung, Kijung Shin, Lee Sael, U Kang:
Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. 41(2): 12:1-12:43 (2016) - [c7]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. ICDM 2016: 469-478 - [c6]Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos:
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. KDD 2016: 895-904 - [c5]Kijung Shin, Bryan Hooi, Christos Faloutsos:
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees. ECML/PKDD (1) 2016: 264-280 - [c4]Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales:
Incorporating Side Information in Tensor Completion. WWW (Companion Volume) 2016: 65-66 - 2015
- [c3]Kijung Shin, Jinhong Jung, Lee Sael, U Kang:
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference 2015: 1571-1585 - 2014
- [c2]Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang:
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. CIKM 2014: 1269-1278 - [c1]Kijung Shin, U Kang:
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization. ICDM 2014: 989-994 - [i1]Kijung Shin, U Kang:
Distributed Methods for High-dimensional and Large-scale Tensor Factorization. CoRR abs/1410.5209 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-04-11 00:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
