We stand with Ukraine

We stand with Ukraine

Di Jin

Affiliations:

University of Michigan, USA (PhD 2021)
Carnegie Mellon University, USA (former)

According to our database¹, Di Jin authored at least 21 papers between 2015 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on derekdijin.github.io
on scholar.google.com

On csauthors.net:

Bibliography

2022

Toward Understanding and Evaluating Structural Node Embeddings.

[BibT_eX]

[DOI]

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,

,

ACM Trans. Knowl. Discov. Data, 2022

On Generalizing Static Node Embedding to Dynamic Settings.

[BibT_eX]

[DOI]

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,

,

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging the Graph Structure of Neural Network Training Dynamics.

[BibT_eX]

[DOI]

Fatemeh Vahedian

,

,

,

,

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2021

Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation.

[BibT_eX]

[DOI]

,

Bunyamin Sisman

,

,

,

Proc. VLDB Endow., 2021

Convolutional Neural Network Dynamics: A Graph Perspective.

[BibT_eX]

[DOI]

Fatemeh Vahedian

,

,

,

,

CoRR, 2021

Towards Understanding and Evaluating Structural Node Embeddings.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2021

TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning.

[BibT_eX]

[DOI]

,

,

,

Ajay Brahmakshatriya

,

Ganesh S. Dasika

,

Saman P. Amarasinghe

,

Trevor N. Mudge

,

,

Ronald G. Dreslinski

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.

[BibT_eX]

[DOI]

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,

,

Nesreen K. Ahmed

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,

ACM Trans. Knowl. Discov. Data, 2020

From Static to Dynamic Node Embeddings.

[BibT_eX]

[DOI]

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,

,

CoRR, 2020

2019

From Community to Role-based Graph Embeddings.

[BibT_eX]

[DOI]

,

,

,

Nesreen K. Ahmed

,

,

CoRR, 2019

node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization.

[BibT_eX]

[DOI]

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,

,

,

,

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Smart Roles: Inferring Professional Roles in Email Networks.

[BibT_eX]

[DOI]

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,

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Bridging Network Embedding and Graph Summarization.

[BibT_eX]

[DOI]

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,

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,

CoRR, 2018

Fast Flow-based Random Walk with Restart in a Multi-query Setting.

[BibT_eX]

[DOI]

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,

,

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

PERSEUS-HUB: Interactive and Collective Exploration of Large-Scale Graphs.

[BibT_eX]

[DOI]

,

Aristotelis Leventidis

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,

,

,

Informatics, 2017

Exploratory Analysis of Graph Data by Leveraging Domain Knowledge.

[BibT_eX]

[DOI]

,

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures.

[BibT_eX]

[DOI]

,

,

Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

2015

Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool.

[BibT_eX]

[DOI]

,

,

,

Christos Faloutsos

Proc. VLDB Endow., 2015

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