Danai named Morris Wellman Professor!
Danai has been named a Morris Wellman Faculty Development Professor. The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research. Details: https://news.engin.umich.edu/2019/12/danai-koutra-named-morris-wellman-professor/.
Research Fellow Fatemeh Vahedian joins the group!
Welcome to Fatemeh!
Carol gets an honorable mention in CRA’s Outstanding Undergraduate Research Program.
Carol Xinyi Zheng was recognized with Outstanding Undergraduate Researcher Award Honorable Mentions by the Computing Research Association. Details: https://news.engin.umich.edu/2019/12/cra-recognizes-three-outstanding-undergraduate-researchers/.
Danai receives a Precision Health Investigator Award!
Danai becomes one of seven recipients of University of Michigan Precision Health’s 2019 Investigator Awards. Details: https://news.engin.umich.edu/2019/11/cse-faculty-funded-for-three-precision-health-projects/
Arya Farahi returns to UMich
Michigan Data Science Fellow Arya Farahi returns to University of Michigan.
1 paper accepted to WSDM
Our paper Toward Activity Discovery in the Personal Web was accepted at WSDM. Congratulations to Tara!
Mark and Tara receive the Best Student Paper Award at ICDM 2019
Our paper Distribution of Node Embeddings as Multiresolution Features for Graphs is awarded the Best Student Paper Award at ICDM 2019. Congratulations to Mark and Tara!
Caleb passes his prelim
2 papers accepted at ICDM
Our papers Distribution of Node Embeddings as Multiresolution Features for Graphs and Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket were accepted at ICDM. Congratulations to Mark and Tara!
1 paper accepted at ASONAM
Our paper When to Remember Where You Came from: Node Representation Learning in Higher-order Networks was accepted at ASONAM. Congratulations to Caleb!
1 paper accepted at PKDD
Our paper node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching was accepted at PKDD. Congratulations to Di and Mark!
Welcome new PhDs!
Welcome to Alican, Puja, and Jiong, who will be joining the GEMS lab in September 2019.
Tara passes her prelim
3 papers accepted to KDD 2019
Three papers accepted to KDD 2019: Latent Network Summarization: Bridging Network Embedding and Summarization, Smart Roles: Inferring Professional Roles in Email Networks, and GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. See you in Anchorage!
Danai receives NSF CAREER award
Danai received an NSF CAREER award for her proposal “Timely Insights: Interpretable, Multi-scale Summarization of Networks over Time”. Congratulations Danai!
Danai awarded an Amazon research grant
Danai received an Amazon research award on Adaptive Personalized Knowledge Graph Summarization in collaboration with Davide Mottin from Aarhus University.
Yujun and Marlena selected for CRA-W Grad Cohort 2019
Yujun and Marlena were invited to attend the CRA-W Grad Cohort workshop in Chicago, IL.
1 paper accepted at SDM
Our paper Coupled Clustering of Time-Series and Networks was accepted at SIAM SDM 2019 in Calgary, Alberta, Canada.
Welcome new PhDs!
Welcome Caleb and Marlena to the GEMS lab!
1 paper accepted at CIKM
Our paper REGAL: Representation Learning-based Graph Alignment was accepted at CIKM 2018 in Turin, Italy.
New website up and running.
1 paper accepted at KDD
Our paper Career Transitions and Trajectories: A Case Study in Computing was accepted at the KDD 2018 conference in London.
Grant for music + big data
Danai was awarded funding to lead a project connecting music and big data.
Danai awarded Adobe Digital Experience Research award
Danai was awarded an Adobe Digital Experience Research award for her work on stitching together web users from scattered data sources.
Tara and Marlena awarded NSF Graduate Research Fellowships
Survey accepted at ACM Computing Surveys
Our paper Graph Summarization Methods and Applications: A Survey was accepted at ACM Computing Surveys
Paper on graph summarization accepted at SNAM
Our paper Reducing Large Graphs to Small Supergraphs: A Unified Approach was accepted at the Social Networks Analysis and Mining (SNAM) journal.
1 paper accepted at PAKDD
Our paper HashAlign: Hash-based Multiple Graph Alignment was accepted at the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) in Melbourne, Australia.
1 paper accepted at SDM
Our paper Fast Flow-based Random Walk with Restart in a Multi-query Setting was accepted at SIAM International Conference on Data Mining (SDM) in San Diego, CA.
ICDM 2017 best paper nomination
Our paper on hashing-based network discovery was selected as one of the best papers of ICDM 2017 and invited for potential publication at the Springer KAIS journal. Congratulations Tara!
Danai has a book!
Danai’s book, Individual and Collective Graph Mining: Principles, Algorithms, and Applications, is published and available on Amazon!
Danai awarded an NSF EAGER grant
Danai awarded an NSF EAGER award with Hanghang Tong on Correspondence Discovery in Disparate Networks.
Danai awarded a Trove grant
Danai awarded a grant from Trove for Making Sense of Communication-based Social Graphs.
Two papers accepted at ICDM 2017
Two regular papers accepted at the ICDM 2017 conference in New Orleans, LA: one on domain-specific exploratory analysis of graphs, led by Di, and one on hashing-based network discovery, led by Tara.
1 paper accepted at KDD 2017
Our paper PNP: Fast Path Ensemble Method for Movie Design was accepted at the KDD 2017 conference in Nova Scotia.
Tara awarded a Google scholarship
Congratulations to Tara Safavi for winning a Women Techmakers Scholarship, formerly known as the Google Anita Borg Memorial Scholarship! Tara will be joining the lab as a PhD student in September 2017.
Danai wins KDD Dissertation Award
Danai won the prestigious 2016 ACM SIGKDD Dissertation Award!