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Di Jin
Di Jin
PhD from Computer Science & Engineering, University of Michigan, Ann Arbor
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
113*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
44*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
312015
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
302019
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
222019
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
202021
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
142021
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
102017
Exploratory Analysis of Graph Data by Leveraging Domain Knowledge
D Jin, D Koutra
The IEEE International Conference on Data Mining series (ICDM), 0
9*
A deep dive into understanding the random walk-based temporal graph learning
N Talati, D Jin, H Ye, A Brahmakshatriya, G Dasika, S Amarasinghe, ...
2021 IEEE International Symposium on Workload Characterization (IISWC), 87-100, 2021
72021
From static to dynamic node embeddings
D Jin, S Kim, RA Rossi, D Koutra
arXiv preprint arXiv:2009.10017, 2020
62020
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
62018
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
52022
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
52021
Understanding and Evaluating Structural Node Embeddings
J Jin, M Heimann, D Jin, D Koutra
KDD MLG Workshop, 2020
52020
On structural vs. Proximity-based temporal node embeddings
P Trivedi, A Büyükçakır, Y Lin, Y Qian, D Jin, D Koutra
32018
Convolutional neural network dynamics: A graph perspective
F Vahedian, R Li, P Trivedi, D Jin, D Koutra
22021
TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures
D Jin, M Wang, YR Lin
Social, Cultural, and Behavioral Modeling: 9th International Conference, SBP …, 2016
22016
PERSEUS3: Visualizing and Interactively Mining Large-Scale Graphs
D Jin, T Sethapakdi, D Koutra, C Faloutsos
Proceedings of the WOODSTOCK 97, 0
1
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