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ORCIDTina Eliassi-Rad
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- affiliation: Northeastern University, Boston, USA
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2020 – today
- 2023
[i33]Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang:
Optimal Intervention on Weighted Networks via Edge Centrality. CoRR abs/2303.09086 (2023)- 2022
- [j24]Xindi Wang, Onur Varol, Tina Eliassi-Rad:
Information access equality on generative models of complex networks. Appl. Netw. Sci. 7(1): 54 (2022) - [j23]Timothy LaRock
, Ingo Scholtes, Tina Eliassi-Rad:
Sequential motifs in observed walks. J. Complex Networks 10(5) (2022) - [j22]Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad:
A path-based approach to analyzing the global liner shipping network. EPJ Data Sci. 11(1): 18 (2022) - [c68]David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad:
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES 2022: 424-435 - [c67]Sidney La Fontaine, Naveen Muralidhar, Michael Clifford, Tina Eliassi-Rad, Cristina Nita-Rotaru:
Alternative Route-Based Attacks in Metropolitan Traffic Systems. DSN Workshops 2022: 20-27 - [c66]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Cyber Network Resilience Against Self-Propagating Malware Attacks. ESORICS (1) 2022: 531-550 - [i32]David Liu, Tina Eliassi-Rad:
Identifying and Mitigating Instability in Embeddings of the Degenerate Core. CoRR abs/2205.10647 (2022) - [i31]Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack W. Davidson:
CELEST: Federated Learning for Globally Coordinated Threat Detection. CoRR abs/2205.11459 (2022) - [i30]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Cyber Network Resilience against Self-Propagating Malware Attacks. CoRR abs/2206.13594 (2022) - [i29]Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Modeling Self-Propagating Malware with Epidemiological Models. CoRR abs/2208.03276 (2022) - [i28]Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin:
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR abs/2210.06417 (2022) - [i27]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. CoRR abs/2211.11141 (2022) - 2021
- [j21]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Selective network discovery via deep reinforcement learning on embedded spaces. Appl. Netw. Sci. 6(1): 24 (2021) - [j20]Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad:
The Why, How, and When of Representations for Complex Systems. SIAM Rev. 63(3): 435-485 (2021) - [j19]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [c65]David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES 2021: 745-755 - [c64]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS 2021: 182-190 - [c63]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) 2021: 532-547 - [c62]Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM 2021: 154-162 - [i26]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR abs/2104.03761 (2021) - [i25]David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR abs/2104.03909 (2021) - [i24]Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack W. Davidson:
Collaborative Information Sharing for ML-Based Threat Detection. CoRR abs/2104.11636 (2021) - [i23]Xindi Wang, Onur Varol, Tina Eliassi-Rad:
Information Access Equality on Network Generative Models. CoRR abs/2107.02263 (2021) - [i22]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR abs/2107.03347 (2021) - [i21]Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad:
A Path-based Approach to Analyzing the Global Liner Shipping Network. CoRR abs/2110.11925 (2021) - [i20]Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad:
Sequential Motifs in Observed Walks. CoRR abs/2112.05642 (2021) - [i19]Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti:
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR abs/2112.13168 (2021) - [i18]Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR abs/2112.13798 (2021) - [i17]Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes:
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports 11(7): 139-178 (2021) - 2020
- [j18]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the limitations of network online learning. Appl. Netw. Sci. 5(1): 60 (2020) - [j17]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks 8(2) (2020) - [c61]Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu:
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. KDD 2020: 3493-3494 - [c60]Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan:
Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core. SDM 2020: 325-333 - [c59]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer:
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. SDM 2020: 460-468 - [c58]Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou:
Integrity 2020: Integrity in Social Networks and Media. WSDM 2020: 905-906 - [i16]Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the Limitations of Network Online Learning. CoRR abs/2001.07607 (2020) - [i15]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i14]Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. CoRR abs/2003.05822 (2020) - [i13]Leo Torres, Ann Sizemore Blevins, Danielle S. Bassett, Tina Eliassi-Rad:
The why, how, and when of representations for complex systems. CoRR abs/2006.02870 (2020) - [i12]Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
Optimizing Graph Structure for Targeted Diffusion. CoRR abs/2008.05589 (2020)
2010 – 2019
- 2019
- [j16]Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad:
Non-backtracking cycles: length spectrum theory and graph mining applications. Appl. Netw. Sci. 4(1): 41:1-41:35 (2019) - [j15]Xindi Wang, Burcu Yucesoy, Onur Varol, Tina Eliassi-Rad, Albert-László Barabási:
Success in books: predicting book sales before publication. EPJ Data Sci. 8(1): 31:1-31:20 (2019) - [c57]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks. COMPLEX NETWORKS (1) 2019: 903-914 - [c56]Tina Eliassi-Rad:
Length Spectrum Theory, Non-backtracking Cycles, and Two Graph Analysis Tasks. GRADES/NDA@SIGMOD/PODS 2019: 1:1 - [c55]Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock:
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. KDD 2019: 3217-3218 - [c54]H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414 - [c53]Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad:
Multilevel Network Alignment. WWW 2019: 2344-2354 - [i11]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
Geometric Laplacian Eigenmap Embedding. CoRR abs/1905.09763 (2019) - [i10]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer:
Detecting Path Anomalies in Time Series Data on Networks. CoRR abs/1905.10580 (2019) - [i9]Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad:
On Designing Machine Learning Models for Malicious Network Traffic Classification. CoRR abs/1907.04846 (2019) - [i8]Xindi Wang, Onur Varol, Tina Eliassi-Rad:
L2P: An Algorithm for Estimating Heavy-tailed Outcomes. CoRR abs/1908.04628 (2019) - [i7]Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad:
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks. CoRR abs/1909.07294 (2019) - 2018
- [j14]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. 54(3): 677-710 (2018) - [c52]Ricky Laishram, Ahmet Erdem Sariyüce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan:
Measuring and Improving the Core Resilience of Networks. WWW 2018: 609-618 - [e2]Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5 [contents] - [r2]Tina Eliassi-Rad:
Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad:
Graph Distance from the Topological View of Non-backtracking Cycles. CoRR abs/1807.09592 (2018) - 2017
- [j13]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. 63(9): 3090-3110 (2017) - [c51]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar:
ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci 2017: 161-170 - 2016
- [j12]Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash:
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18(1): 39-45 (2016) - [j11]Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10(4): 49:1-49:30 (2016) - [j10]Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c50]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar:
MaxReach: Reducing network incompleteness through node probes. ASONAM 2016: 152-157 - [c49]Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos:
NimbleCore: A space-efficient external memory algorithm for estimating core numbers. ASONAM 2016: 207-214 - [c48]Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou:
Fast best-effort search on graphs with multiple attributes. ICDE 2016: 1574-1575 - [c47]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. ICDM 2016: 469-478 - [c46]David Lazer, Oren Tsur, Tina Eliassi-Rad:
Understanding Offline Political Systems by Mining Online Political Data. WSDM 2016: 687-688 - [c45]Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy:
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) 2016: 109-110 - [i5]Sean Gilpin, Chia-Tung Kuo, Tina Eliassi-Rad, Ian Davidson:
Some Advances in Role Discovery in Graphs. CoRR abs/1609.02646 (2016) - 2015
- [j9]Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. 75: 38-48 (2015) - [j8]Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou:
Fast Best-Effort Search on Graphs with Multiple Attributes. IEEE Trans. Knowl. Data Eng. 27(3): 755-768 (2015) - [c44]Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM 2015: 659-666 - [c43]Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens:
Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS 2015: 918-927 - [c42]Allison June-Barlow Chaney, David M. Blei, Tina Eliassi-Rad:
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation. RecSys 2015: 43-50 - [c41]Keith Henderson, Brian Gallagher, Tina Eliassi-Rad:
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC 2015: 893-900 - [c40]Long T. Le, Tina Eliassi-Rad, Hanghang Tong:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM 2015: 694-702 - [c39]Spiros Papadimitriou, Tina Eliassi-Rad:
Mining Mobility Data. WWW (Companion Volume) 2015: 1541-1542 - [i4]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar:
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR abs/1511.06463 (2015) - 2014
- [c38]Priya Govindan, Tina Eliassi-Rad, Jin Xu, Shawndra Hill, Chris Volinsky:
Threatening Privacy across Social Graphs: A Structural Features Approach. ICDM Workshops 2014: 554-561 - [c37]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher:
A Guide to Selecting a Network Similarity Method. SDM 2014: 1037-1045 - [r1]Tina Eliassi-Rad:
Social Order in Online Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1918-1920 - 2013
- [c36]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos:
Network similarity via multiple social theories. ASONAM 2013: 1439-1440 - [c35]Long T. Le, Tina Eliassi-Rad, Foster J. Provost, Lauren Moores:
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads. LBSN 2013: 24-33 - [c34]Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson:
Guided learning for role discovery (GLRD): framework, algorithms, and applications. KDD 2013: 113-121 - [c33]Spiros Papadimitriou, Tina Eliassi-Rad:
Mining data from mobile devices: a survey of smart sensing and analytics. KDD 2013: 1524 - [c32]Huy Hang, Xuetao Wei, Michalis Faloutsos, Tina Eliassi-Rad:
Entelecheia: Detecting P2P botnets in their waiting stage. Networking 2013: 1-9 - 2012
- [j7]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. 15(3-4): 391-411 (2012) - [j6]Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang:
Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. 30(1): 31-55 (2012) - [c31]Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Gelling, and melting, large graphs by edge manipulation. CIKM 2012: 245-254 - [c30]Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c29]Mangesh Gupte, Tina Eliassi-Rad:
Measuring tie strength in implicit social networks. WebSci 2012: 109-118 - [i3]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos:
NetSimile: A Scalable Approach to Size-Independent Network Similarity. CoRR abs/1209.2684 (2012) - 2011
- [j5]Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad:
Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. 71(2): 225-235 (2011) - [c28]Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [c27]Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad:
Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) 2011: 506-521 - [c26]Tina Eliassi-Rad, Keith Henderson:
Ranking Information in Networks. SBP 2011: 268-275 - [i2]Mangesh Gupte, Tina Eliassi-Rad:
Measuring Tie Strength in Implicit Social Networks. CoRR abs/1112.2774 (2011) - 2010
- [c25]Marios Iliofotou, Brian Gallagher, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos:
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT 2010: 2 - [c24]James Abello, Tina Eliassi-Rad, Nishchal Devanur:
Detecting Novel Discrepancies in Communication Networks. ICDM 2010: 8-17 - [c23]Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
On the Vulnerability of Large Graphs. ICDM 2010: 1091-1096 - [c22]Brian Gallagher, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos:
Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM 2010: 221-225 - [c21]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172 - [c20]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) 2010: 449-463 - [c19]Tina Eliassi-Rad, Keith Henderson:
Literature Search through Mixed-Membership Community Discovery. SBP 2010: 70-78 - [c18]Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos:
HCDF: A Hybrid Community Discovery Framework. SDM 2010: 754-765
2000 – 2009
- 2009
- [c17]Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad:
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM 2009: 397-406 - [c16]Keith Henderson, Tina Eliassi-Rad:
Applying latent dirichlet allocation to group discovery in large graphs. SAC 2009: 1456-1461 - 2008
- [j4]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad:
Collective Classification in Network Data. AI Mag. 29(3): 93-106 (2008) - [j3]Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad:
Two heads better than one: pattern discovery in time-evolving multi-aspect data. Data Min. Knowl. Discov. 17(1): 111-128 (2008) - [c15]Phaedon-Stelios Koutsourelakis, Tina Eliassi-Rad:
Finding Mixed-Memberships in Social Networks. AAAI Spring Symposium: Social Information Processing 2008: 48-53 - [c14]Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos:
Fast mining of complex time-stamped events. CIKM 2008: 759-768 - [c13]Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - [c12]Brian Gallagher, Tina Eliassi-Rad:
Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD 2008: 1-19 - [c11]Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos:
Using ghost edges for classification in sparsely labeled networks. KDD 2008: 256-264 - [c10]