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Di Jin
Di Jin
PhD from Computer Science & Engineering, University of Michigan, Ann Arbor
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
On proximity and structural role-based embeddings in networks: Misconceptions, techniques, and applications
RA Rossi, D Jin, S Kim, NK Ahmed, D Koutra, JB Lee
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-37, 2020
70*2020
node2bits: Compact time-and attribute-aware node representations
D Jin, M Heimann, R Rossi, D Koutra
ECML/PKDD European Conference on Principles and Practice of Knowledge …, 2019
34*2019
Perseus: an interactive large-scale graph mining and visualization tool
D Koutra, D Jin, Y Ning, C Faloutsos
Proceedings of the VLDB Endowment 8 (12), 1924-1927, 2015
272015
Latent network summarization: Bridging network embedding and summarization
D Jin, RA Rossi, E Koh, S Kim, A Rao, D Koutra
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
252019
Smart roles: Inferring professional roles in email networks
D Jin, M Heimann, T Safavi, M Wang, W Lee, L Snider, D Koutra
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
122019
PERSEUS-HUB: Interactive and collective exploration of large-scale graphs
D Jin, A Leventidis, H Shen, R Zhang, J Wu, D Koutra
Informatics 4 (3), 22, 2017
72017
Toward understanding and evaluating structural node embeddings
J Jin, M Heimann, D Jin, D Koutra
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-32, 2021
52021
Fast flow-based random walk with restart in a multi-query setting
Y Yan, M Heimann, D Jin, D Koutra
Proceedings of the 2018 SIAM International Conference on Data Mining, 342-350, 2018
52018
Exploratory Analysis of Graph Data by Leveraging Domain Knowledge
D Jin, D Koutra
The IEEE International Conference on Data Mining series (ICDM), 0
5*
From static to dynamic node embeddings
D Jin, S Kim, RA Rossi, D Koutra
arXiv preprint arXiv:2009.10017, 2020
42020
Understanding and evaluating structural node embedding’s
J Jin, M Heimann, D Jin, D Koutra
KDD MLG Workshop, 2020
42020
Deep transfer learning for multi-source entity linkage via domain adaptation
D Jin, B Sisman, H Wei, XL Dong, D Koutra
arXiv preprint arXiv:2110.14509, 2021
32021
TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures
D Jin, M Wang, YR Lin
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2016
32016
On structural vs. Proximity-based temporal node embeddings
P Trivedi, A Büyükçakır, Y Lin, Y Qian, D Jin, D Koutra
22018
PERSEUS3: Visualizing and Interactively Mining Large-Scale Graphs
D Jin, T Sethapakdi, D Koutra, C Faloutsos
Proceedings of the WOODSTOCK 97, 0
1
On Generalizing Static Node Embedding to Dynamic Settings
D Jin, S Kim, RA Rossi, D Koutra
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
2022
Convolutional Neural Network Dynamics: A Graph Perspective
F Vahedian, R Li, P Trivedi, D Jin, D Koutra
arXiv preprint arXiv:2111.05410, 2021
2021
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning
N Talati, D Jin, H Yet, A Brahmakshatriya, G Dasika, S Amarasinghe, ...
2021 IEEE International Symposium on Workload Characterization (IISWC), 87-100, 2021
2021
TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding
D Jin, Z Qi, Y Luo, Y Shan
Proceedings of the 29th ACM International Conference on Multimedia, 1093-1101, 2021
2021
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Articles 1–19