June 2024
Jiong graduated! Congratulations Dr. Zhu!
Jiong graduated on June 2024. Congratulations to Dr. Zhu!
June 2024
Puja passed her thesis proposal!
Puja passed her thesis proposal on June 2024. Congratulations, Puja!
May 2024
One paper accepted to ICML! (Graph Generation)
We have one paper accepted from our lab to ICML conference on graph generation.
January 2024
One paper accepted to ICLR! (GNN-based Uncertainty)
We have one paper accepted to ICLR from our lab on GNN-based uncertainty topic.
December 2023
One paper accepted to ICASSP! (Link Prediction Uncertainty)
We have one paper accepted to ICASSP from our lab. The paper is about link prediction uncertainty.
December 2023
Yujun graduated! Congratulations Dr. Yan!
June 2023
Caleb graduated! Congratulations Dr. Belth!
Caleb graduated on June 2023. Congratulations, Dr. Belth!
January 2023
One paper accepted to ICLR as a Spotlight (top 25%)! (Model Adaptation)
We have one paper accepted to ICLR as a Spotlight (top 25%). The paper talks about Model Adaptation topic.
December 2023
One paper accepted to ICASSP! (Generalization gap prediction)
We have one paper accepted to ICASSP. The paper talks about generalization gap in predictive models.
November 2023
One paper accepted at Learning on Graphs! (performance discrepancies in GNNs; oral presentation, top 5% of long papers)
We have one paper accepted to the Learning on Graphs conference. It is in the top 5% of long papers. The paper talks about performance discrepancies in GNNs.
May 2023
Donald receives an NSF Graduate Research Fellowship! Congratulations!
Donald Loveland received NSF graduate research fellowship. As part of the Graph Exploration and Mining at Scale (GEMS) Lab in CSE, Loveland’s research seeks to improve the interpretability, robustness, and fairness of graph neural networks. The goal of their work is to identify limitations and mitigate potentially harmful biases in current methods used in building and analyzing graph neural networks. Loveland is a third-year PhD student in CSE and is advised by Prof. Danai Koutra.
September 2023
One paper accepted to NeurIPS! (Data-centric Graph CL)
We have one paper accepted to NeurIPS. The paper is on data-centric graph CL.
November 2022
Alumna Tara received the Kuck Dissertation Prize for her dissertation!
Alumna Tara received the Kuck Dissertation Prize for her dissertation! Congratulations Tara!
September 2022
Donald passes his prelim! Congratulations!
Donald passed their preliminary exam on September 2022. Congratulations, Donald!
April 2022
Tara graduated! Congratulations Dr. Safavi!
Tara graduated! Congratulations Dr. Safavi!
July 2021
Marlena graduated! Congratulations Dr. Duda!
Marlena graduated! Congratulations Dr. Duda!
November 2021
Di graduated! Congratulations Dr. Jin!
Di graduated! Congratulations Dr. Jin!
February 2021
One paper accepted to WebConf! (Augmentations in Graph CL)
We have one paper accepted to WebConf conference. The paper is on augmentations in graph CL.
February 2021
Caleb receives Richard F. and Eleanor A. Towner Prize for Distinguished Academic Achievement!
Caleb has been selected to receive the College of Engineering’s Richard F. and Eleanor A. Towner Prize for Distinguished Academic Achievement, which is presented to the outstanding graduate student (Master’s or Ph.D. students) in each degree program. Criteria considered by the department awards committee include student’s active participation in research, leadership and academic performance.
February 2021
Puja passes her prelim!
Congrats, Puja!
September 2020
Jiong passes his prelim!
Congrats, Jiong!
September 2020
Two papers accepted at NeurIPS ‘20!
Two papers accepted at NeurIPS 2020, one on limitations and effective design of GNNs for graphs exhibiting heterophily, and the other on learning to execute subroutines. Congratulations to Jiong, Yujun, and coauthors!
September 2020
Two papers accepted at EMNLP ‘20!
Two papers accepted at EMNLP 2020, one releasing a new KG dataset, CoDEx, and the other on Evaluating the Calibration of Knowledge Graph Embeddings. Congratulations, Tara!
August 2020
Mark graduated! Congrats Dr. Heimann!
Warm congratulations to Dr. Heimann for defending his thesis Unsupervised Structural Embedding Methods for Efficient Collective Network Mining and becoming the first Ph.D. that is graduated from the GEMS Lab!
August 2020
Danai receives the ACM SIGKDD’s Rising Star Award!
Danai has been selected to receive the ACM SIGKDD’s Rising Star Award, which is based on an individual’s whole body of work in the first five years after the Ph.D.
August 2020
1 paper accepted to ICDM’20!
Our paper A Hidden Challenge of Link Prediction: Which Pairs to Check? was accepted at ICDM’20. Congratulations to Caleb and Alican!
July 2020
Danai receives a Facebook Research Award!
Danai is the among the 6 recipients of Facebook Research’s Statistics for Improving Insights, Models and Decisions Program award!
May 2020
1 paper accepted to KDD’20!
Our paper Mining Persistent Activity in Continually Evolving Networks was accepted at KDD’20. Congratulations to Caleb and Carol!
April 2020
Caleb receives an NDSEG Fellowship!
Caleb becomes a recipient of the Department of Defense NDSEG Fellowship Program. Congrats!
March 2020
Caleb receives an NSF GRFP!
Caleb becomes a recipient of NSF Graduate Research Fellowships Program (GRFP). Congrats!
February 2020
Danai receives a Google Faculty Research Award!
Danai receives a Google Faculty Research Award, ‘‘a program focused on supporting the world-class technical research in Computer Science, Engineering and related fields performed at academic institutions around the world’’. CSE Faculty at UMich receives 4 of these awards. List of all recipients for 2019-2020 is available here.
February 2020
Danai was recognised as an Outstanding Senior PC Member at WSDM’20!
Danai was recognised as an Outstanding Senior PC Member at WSDM’20! See: https://www.wsdm-conference.org/2020 and the list of all Outstanding SPC and PC Members
January 2020
1 paper accepted to WebConf
Our paper What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization was accepted at WebConf. Congratulations to Caleb and Carol!
January 2020
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/.
January 2020
Research Fellow Fatemeh Vahedian joins the group!
Welcome to Fatemeh!
December 2019
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/.
November 2019
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/
November 2019
Arya Farahi returns to UMich
Michigan Data Science Fellow Arya Farahi returns to University of Michigan.
October 2019
1 paper accepted to WSDM
Our paper Toward Activity Discovery in the Personal Web was accepted at WSDM. Congratulations to Tara!
October 2019
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!
September 2019
Caleb passes his prelim
Congrats!
August 2019
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!
June 2019
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!
June 2019
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!
May 2019
Welcome new PhDs!
Welcome to Alican, Puja, and Jiong, who will be joining the GEMS lab in September 2019.
May 2019
Tara passes her prelim
Congrats!
April 2019
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!
March 2019
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!
January 2019
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.
December 2018
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.
December 2018
1 paper accepted at SDM
Our paper Coupled Clustering of Time-Series and Networks was accepted at SIAM SDM 2019 in Calgary, Alberta, Canada.
September 2018
Welcome new PhDs!
Welcome Caleb and Marlena to the GEMS lab!
August 2018
1 paper accepted at CIKM
Our paper REGAL: Representation Learning-based Graph Alignment was accepted at CIKM 2018 in Turin, Italy.
August 2018
New website
New website up and running.
May 2018
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.
May 2018
Grant for music + big data
Danai was awarded funding to lead a project connecting music and big data.
April 2018
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.
April 2018
Tara and Marlena awarded NSF Graduate Research Fellowships
Congrats!
February 2018
Survey accepted at ACM Computing Surveys
Our paper Graph Summarization Methods and Applications: A Survey was accepted at ACM Computing Surveys
February 2018
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.
January 2018
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.
December 2017
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.
November 2017
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!
November 2017
Danai has a book!
Danai’s book, Individual and Collective Graph Mining: Principles, Algorithms, and Applications, is published and available on Amazon!
August 2017
Danai awarded an NSF EAGER grant
Danai awarded an NSF EAGER award with Hanghang Tong on Correspondence Discovery in Disparate Networks.
August 2017
Danai awarded a Trove grant
Danai awarded a grant from Trove for Making Sense of Communication-based Social Graphs.
August 2017
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.
May 2017
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.
May 2017
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.
August 2016
Danai wins KDD Dissertation Award
Danai won the prestigious 2016 ACM SIGKDD Dissertation Award!