A Graph Summarization: A Survey. - Yike Liu; Abhilash Dighe; Tara Safavi; Danai Koutra (CoRR, 2016)

Scalable Hashing-Based Network Discovery. - Tara Safavi; Chandra Sekhar Sripada; Danai Koutra (ICDM, 2017)

REGAL: Representation Learning-based Graph Alignment. - Mark Heimann; Haoming Shen; Tara Safavi; Danai Koutra (CIKM, 2018)

Career Transitions and Trajectories: A Case Study in Computing. - Tara Safavi; Maryam Davoodi; Danai Koutra (KDD, 2018)

Graph Summarization Methods and Applications: A Survey. - Yike Liu; Tara Safavi; Abhilash Dighe; Danai Koutra (ACM Comput. Surv., 2018)

Reducing large graphs to small supergraphs: a unified approach. - Yike Liu; Tara Safavi; Neil Shah; Danai Koutra (Soc. Netw. Anal. Min., 2018)

Distribution of Node Embeddings as Multiresolution Features for Graphs. - Mark Heimann; Tara Safavi; Danai Koutra (ICDM, 2019)

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. - Tara Safavi; Caleb Belth; Lukas Faber; Davide Mottin; Emmanuel Müller; Danai Koutra (ICDM, 2019)

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)

Fast network discovery on sequence data via time-aware hashing. - Tara Safavi; Chandra Sekhar Sripada; Danai Koutra (Knowl. Inf. Syst., 2019)

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark. - Tara Safavi; Danai Koutra (EMNLP (1), 2020)

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction. - Tara Safavi; Danai Koutra; Edgar Meij (EMNLP (1), 2020)

Toward Activity Discovery in the Personal Web. - Tara Safavi; Adam Fourney; Robert Sim; Marcin Juraszek; Shane Williams; Ned Friend; Danai Koutra; Paul N. Bennett (WSDM, 2020)

Improving the Utility of Knowledge Graph Embeddings with Calibration. - Tara Safavi; Danai Koutra; Edgar Meij (CoRR, 2020)

Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020. - Edgar Meij; Tara Safavi; Chenyan Xiong; Gianluca Demartini; Miriam Redi; Fatma Özcan (CoRR, 2020)

Generating Negative Commonsense Knowledge. - Tara Safavi; Danai Koutra (CoRR, 2020)

Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020. - Tara Safavi; Edgar Meij; Fatma Özcan; Miriam Redi; Gianluca Demartini; Chenyan Xiong (SIGIR Forum, 2020)

Relational World Knowledge Representation in Contextual Language Models: A Review. - Tara Safavi; Danai Koutra (EMNLP (1), 2021)

NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases. - Tara Safavi; Jing Zhu 005; Danai Koutra (EMNLP (1), 2021)

CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. - Tara Safavi; Doug Downey; Tom Hope (AKBC, 2022)

17th International Workshop on Mining and Learning with Graphs (MLG). - Shobeir Fakhraei; Tim Weninger; Neil Shah; Sami Abu-El-Haija; Saurabh Verma; Tara Safavi (KDD, 2022)

Augmenting Structure with Text for Improved Graph Learning - Tara Safavi (2022)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Xiaochuan Ni 001; Nagu Rangan; Tara Safavi; et al. (CoRR, 2023)

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. - Sheshera Mysore; Zhuoran Lu; Mengting Wan; Longqi Yang; Steve Menezes; Tina Baghaee; Emmanuel Barajas Gonzalez; Jennifer Neville; Tara Safavi (CoRR, 2023)

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. - Sarkar Snigdha Sarathi Das; Chirag Shah 001; Mengting Wan; Jennifer Neville; Longqi Yang; Reid Andersen; Georg Buscher; Tara Safavi (ACL (Findings), 2024)

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. - Ying-Chun Lin; Jennifer Neville; Jack W. Stokes; Longqi Yang; Tara Safavi; Mengting Wan; Scott Counts; Siddharth Suri; Reid Andersen; Xiaofeng Xu; Deepak Gupta; Sujay Kumar Jauhar; et al. (ACL (1), 2024)

TnT-LLM: Text Mining at Scale with Large Language Models. - Mengting Wan; Tara Safavi; Sujay Kumar Jauhar; Yujin Kim; Scott Counts; Jennifer Neville; Siddharth Suri; Chirag Shah 001; Ryen W. White; Longqi Yang; Reid Andersen; Georg Buscher; et al. (KDD, 2024)

The Use of Generative Search Engines for Knowledge Work and Complex Tasks. - Siddharth Suri; Scott Counts; Leijie Wang; Chacha Chen; Mengting Wan; Tara Safavi; Jennifer Neville; Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Sathish Manivannan; et al. (CoRR, 2024)

Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. - Zhuoran Lu; Sheshera Mysore; Tara Safavi; Jennifer Neville; Longqi Yang; Mengting Wan (CoRR, 2024)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Nagu Rangan; Tara Safavi; Siddharth Suri; et al. (ACM Trans. Web, 2025)