Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool. - Danai Koutra; Di Jin 003; Yuanshi Ning; Christos Faloutsos (Proc. VLDB Endow., 2015)

TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures. - Di Jin 003; Mengdi Wang; Yu-Ru Lin (SBP-BRiMS, 2016)

Exploratory Analysis of Graph Data by Leveraging Domain Knowledge. - Di Jin 003; Danai Koutra (ICDM, 2017)

PERSEUS-HUB: Interactive and Collective Exploration of Large-Scale Graphs. - Di Jin 003; Aristotelis Leventidis; Haoming Shen; Ruowang Zhang; Junyue Wu; Danai Koutra (Informatics, 2017)

Fast Flow-based Random Walk with Restart in a Multi-query Setting. - Yujun Yan; Mark Heimann; Di Jin 003; Danai Koutra (SDM, 2018)

Bridging Network Embedding and Graph Summarization. - Di Jin 003; Ryan A. Rossi; Danai Koutra; Eunyee Koh; Sungchul Kim; Anup Rao 002 (CoRR, 2018)

Smart Roles: Inferring Professional Roles in Email Networks. - Di Jin 003; Mark Heimann; Tara Safavi; Mengdi Wang; Wei Lee; Lindsay Snider; Danai Koutra (KDD, 2019)

Latent Network Summarization: Bridging Network Embedding and Summarization. - Di Jin 003; Ryan A. Rossi; Eunyee Koh; Sungchul Kim; Anup Rao 002; Danai Koutra (KDD, 2019)

node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. - Di Jin 003; Mark Heimann; Ryan A. Rossi; Danai Koutra (ECML/PKDD (1), 2019)

From Community to Role-based Graph Embeddings. - Ryan A. Rossi; Di Jin 003; Sungchul Kim; Nesreen K. Ahmed; Danai Koutra; John Boaz Lee (CoRR, 2019)

From Static to Dynamic Node Embeddings. - Di Jin 003; Sungchul Kim; Ryan A. Rossi; Danai Koutra (CoRR, 2020)

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. - Ryan A. Rossi; Di Jin 003; Sungchul Kim; Nesreen K. Ahmed; Danai Koutra; John Boaz Lee (ACM Trans. Knowl. Discov. Data, 2020)

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. - Nishil Talati; Di Jin 003; Haojie Ye; Ajay Brahmakshatriya; Ganesh S. Dasika; Saman P. Amarasinghe; Trevor N. Mudge; Danai Koutra; Ronald G. Dreslinski (IISWC, 2021)

TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding. - Di Jin 003; Zhongang Qi; Yingmin Luo; Ying Shan (ACM Multimedia, 2021)

Towards Understanding and Evaluating Structural Node Embeddings. - Junchen Jin; Mark Heimann; Di Jin 003; Danai Koutra (CoRR, 2021)

Convolutional Neural Network Dynamics: A Graph Perspective. - Fatemeh Vahedian; Ruiyu Li; Puja Trivedi; Di Jin 003; Danai Koutra (CoRR, 2021)

Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. - Di Jin 003; Bunyamin Sisman; Hao Wei; Xin Luna Dong; Danai Koutra (Proc. VLDB Endow., 2021)

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods and Applications. - Di Jin 003 (2021)

Leveraging the Graph Structure of Neural Network Training Dynamics. - Fatemeh Vahedian; Ruiyu Li; Puja Trivedi; Di Jin 003; Danai Koutra (CIKM, 2022)

On Generalizing Static Node Embedding to Dynamic Settings. - Di Jin 003; Sungchul Kim; Ryan A. Rossi; Danai Koutra (WSDM, 2022)

Toward Understanding and Evaluating Structural Node Embeddings. - Junchen Jin; Mark Heimann; Di Jin 003; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2022)