Eunyee Koh
Eunyee Koh
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Cited by
Cited by
Continuous-time dynamic network embeddings
GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim
Companion proceedings of the the web conference 2018, 969-976, 2018
Attention models in graphs: A survey
JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (6), 1-25, 2019
Temporal network representation learning
JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim
arXiv preprint arXiv:1904.06449, 2019
Higher-order network representation learning
RA Rossi, NK Ahmed, E Koh
Companion Proceedings of the The Web Conference 2018, 3-4, 2018
Graph convolutional networks with motif-based attention
JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao
Proceedings of the 28th ACM international conference on information and …, 2019
combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery
A Kerne, E Koh, SM Smith, A Webb, B Dworaczyk
ACM Transactions on Information Systems (TOIS) 27 (1), 1-45, 2008
Dynamic network embeddings: From random walks to temporal random walks
GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim
2018 IEEE International Conference on Big Data (Big Data), 1085-1092, 2018
An experimental method for measuring the emergence of new ideas in information discovery
A Kerne, SM Smith, E Koh, H Choi, R Graeber
Intl. Journal of Human–Computer Interaction 24 (5), 460-477, 2008
combinFormation: A mixed-initiative system for representing collections as compositions of image and text surrogates
A Kerne, E Koh, B Dworaczyk, JM Mistrot, H Choi, SM Smith, R Graeber, ...
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, 11-20, 2006
Visualizing uncertainty and alternatives in event sequence predictions
S Guo, F Du, S Malik, E Koh, S Kim, Z Liu, D Kim, H Zha, N Cao
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
A structural graph representation learning framework
RA Rossi, NK Ahmed, E Koh, S Kim, A Rao, Y Abbasi-Yadkori
Proceedings of the 13th international conference on web search and data …, 2020
Deepcompare: Visual and interactive comparison of deep learning model performance
S Murugesan, S Malik, F Du, E Koh, TM Lai
IEEE computer graphics and applications 39 (5), 47-59, 2019
Knowledge discovery from belief networks
CR Ruiz, E Koh
US Patent 9,691,032, 2017
Predicting online purchase conversion for retargeting
J Yeo, S Kim, E Koh, S Hwang, N Lipka
Proceedings of the Tenth ACM international conference on web search and data …, 2017
Graph convolutional networks with motif-based attention
JBT Lee, R Rossi, S Kim, E Koh, A Rao
US Patent 11,544,535, 2023
Promoting emergence in information discovery by representing collections with composition
A Kerne, E Koh, S Smith, H Choi, R Graeber, A Webb
Proceedings of the 6th ACM SIGCHI conference on Creativity & Cognition, 117-126, 2007
Representing collections as compositions to support distributed creative cognition and situated creative learning
A Kerne, E Koh
New Review of Hypermedia and Multimedia 13 (2), 135-162, 2007
Figure captioning with reasoning and sequence-level training
C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu
arXiv preprint arXiv:1906.02850, 2019
Heterogeneous network motifs
RA Rossi, NK Ahmed, A Carranza, D Arbour, A Rao, S Kim, E Koh
arXiv preprint arXiv:1901.10026, 2019
An evaluation-focused framework for visualization recommendation algorithms
Z Zeng, P Moh, F Du, J Hoffswell, TY Lee, S Malik, E Koh, L Battle
IEEE Transactions on Visualization and Computer Graphics 28 (1), 346-356, 2021
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