Tina Eliassi-Rad
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
22
Active years
1999–2026
Best venue rank
A*
Where they publish
- A*KDD12 papers
- ASDM10 papers
- A*ICDM7 papers
- A*WWW5 papers
- MulticonferenceSAC3 papers
- CAIES2 papers
- AWSDM2 papers
- ACIKM2 papers
- BCPAIOR1 paper
- A*IJCAI1 paper
- ADSN1 paper
- AESORICS1 paper
- A*SIGMOD1 paper
- A*ICDE1 paper
- ARecSys1 paper
- BNetworking1 paper
- ACoNEXT1 paper
- A*INFOCOM1 paper
- BPAKDD1 paper
- BSSDBM1 paper
- A*ICML1 paper
- AIUI1 paper
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. | David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein |
| 2025 | CPAIOR | Accelerated Discovery of Set Cover Solutions via Graph Neural Networks. | Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres |
| 2025 | IJCAI | Human-AI Coevolution (Abstract Reprint). | Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-Lszl Barabsi, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, Jnos Kertsz, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani |
| 2025 | KDD | Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings. | David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander |
| 2025 | SDM | Defense Against Shortest Path Attacks. | Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld |
| 2025 | SDM | REGE: A Method for Incorporating Uncertainty in Graph Embeddings. | Zohair Shafi, Germans Savcisens, Tina Eliassi-Rad |
| 2023 | SDM | Optimal Intervention on Weighted Networks via Edge Centrality. | Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang |
| 2023 | SDM | STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. | David Liu, Tina Eliassi-Rad |
| 2022 | AIES | Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. | David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad |
| 2022 | DSN | Alternative Route-Based Attacks in Metropolitan Traffic Systems. | Sidney La Fontaine, Naveen Muralidhar, Michael Clifford, Tina Eliassi-Rad, Cristina Nita-Rotaru |
| 2022 | ESORICS | Cyber Network Resilience Against Self-Propagating Malware Attacks. | Alesia Chernikova, Nicol Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea |
| 2021 | AIES | RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. | David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld |
| 2021 | SDM | POTION : Optimizing Graph Structure for Targeted Diffusion. | Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik |
| 2020 | KDD | Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. | Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salath, Samuel V. Scarpino, Joseph T. Wu |
| 2020 | WSDM | Integrity 2020: Integrity in Social Networks and Media. | Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou |
| 2020 | SDM | Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the | Ricky Laishram, Ahmet Erdem Sariyce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan |
| 2020 | SDM | HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. | Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer |
| 2019 | KDD | Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. | Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock |
| 2019 | WWW | Multilevel Network Alignment. | Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad |
| 2019 | SIGMOD | The Responsibility Challenge for Data. | H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich |
| 2018 | WWW | Measuring and Improving the Core Resilience of Networks. | Ricky Laishram, Ahmet Erdem Sariyce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan |
| 2016 | ICDE | Fast best-effort search on graphs with multiple attributes. | Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou |
| 2016 | ICDM | CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. | Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos |
| 2016 | WWW | Generating Graph Snapshots from Streaming Edge Data. | Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy |
| 2016 | WSDM | Understanding Offline Political Systems by Mining Online Political Data. | David Lazer, Oren Tsur, Tina Eliassi-Rad |
| 2015 | RecSys | A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. | Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad |
| 2015 | WWW | Mining Mobility Data. | Spiros Papadimitriou, Tina Eliassi-Rad |
| 2015 | SAC | EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. | Keith Henderson, Brian Gallagher, Tina Eliassi-Rad |
| 2015 | SDM | MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. | Long T. Le, Tina Eliassi-Rad, Hanghang Tong |
| 2014 | ICDM | Threatening Privacy across Social Graphs: A Structural Features Approach. | Priya Govindan, Tina Eliassi-Rad, Jin Xu, Shawndra Hill, Chris Volinsky |
| 2014 | SDM | A Guide to Selecting a Network Similarity Method. | Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher |
| 2013 | KDD | Guided learning for role discovery (GLRD): framework, algorithms, and applications. | Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson |
| 2013 | KDD | Mining data from mobile devices: a survey of smart sensing and analytics. | Spiros Papadimitriou, Tina Eliassi-Rad |
| 2013 | Networking | Entelecheia: Detecting P2P botnets in their waiting stage. | Huy Hang, Xuetao Wei, Michalis Faloutsos, Tina Eliassi-Rad |
| 2012 | CIKM | Gelling, and melting, large graphs by edge manipulation. | Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos |
| 2012 | KDD | RolX: structural role extraction & mining in large graphs. | Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li |
| 2011 | KDD | It's who you know: graph mining using recursive structural features. | Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos |
| 2010 | CoNEXT | Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. | Marios Iliofotou, Brian Gallagher, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos |
| 2010 | ICDM | Detecting Novel Discrepancies in Communication Networks. | James Abello, Tina Eliassi-Rad, Nishchal Devanur |
| 2010 | ICDM | On the Vulnerability of Large Graphs. | Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau |
| 2010 | INFOCOM | Link Homophily in the Application Layer and its Usage in Traffic Classification. | Brian Gallagher, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos |
| 2010 | KDD | Metric forensics: a multi-level approach for mining volatile graphs. | Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong |
| 2010 | PAKDD | BASSET: Scalable Gateway Finder in Large Graphs. | Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad |
| 2010 | SDM | HCDF: A Hybrid Community Discovery Framework. | Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos |
| 2009 | ICDM | Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. | Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad |
| 2009 | SAC | Applying latent dirichlet allocation to group discovery in large graphs. | Keith Henderson, Tina Eliassi-Rad |
| 2008 | CIKM | Fast mining of complex time-stamped events. | Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos |
| 2008 | ICDM | GRAPHITE: A Visual Query System for Large Graphs. | Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad |
| 2008 | KDD | Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. | Brian Gallagher, Tina Eliassi-Rad |
| 2008 | KDD | Using ghost edges for classification in sparsely labeled networks. | Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos |
| 2007 | ICDM | An Examination of Experimental Methodology for Classifiers of Relational Data. | Brian Gallagher, Tina Eliassi-Rad |
| 2007 | KDD | Fast best-effort pattern matching in large attributed graphs. | Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad |
| 2005 | SAC | A hybrid approach for multiresolution modeling of large-scale scientific data. | Tina Eliassi-Rad, Terence Critchlow |
| 2003 | SSDBM | The Evolution of a Hierarchical Partitioning Algorithm for Large-Scale Scientific Data: Three Steps of Increasing Complexity. | Chuck Baldwin, Tina Eliassi-Rad, Ghaleb Abdulla, Terence Critchlow |
| 2002 | KDD | Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla. | Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla |
| 2001 | ICML | A Theory-Refinement Approach to Information Extraction. | Tina Eliassi-Rad, Jude W. Shavlik |
| 1999 | IUI | An Instructable, Adaptive Interface for Discovering and Monitoring Information on the World-Wide Web. | Jude W. Shavlik, Susan Calcari, Tina Eliassi-Rad, Jack Solock |