• GBASE: A Scalable and General Graph Management System U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, and Christos Faloutsos. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2011, San Diego, CA, USA • Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation U Kang, Brendan Meeder, and Christos Faloutsos Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2011, Shenzhen, China Best Application Paper • Apolo: Making Sense of Large Network Data byCombining Rich User Interaction and Machine Learning Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos ACM Conference on Human Factors in Computing Systems (CHI) 2011. Vancouver, BC, Canada • Centralities in Large Networks: Algorithms and Observations U Kang, Spiros Papadimitriou, Jimeng Sun, and Hanghang Tong SIAM International Conference on Data Mining (SDM) 2011, Mesa, Arizona, USA • Polonium: Tera-Scale Graph Mining and Inference for Malware Detection Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos SIAM International Conference on Data Mining (SDM) 2011. Mesa, Arizona, USA • Mining Large Graphs: Algorithms, Inference, and Discoveries U Kang, Duen Horng Chau, and Christos Faloutsos IEEE International Conference on Data Engineering (ICDE) 2011, Hannover, Germany • Patterns on the Connected Components of Terabyte-Scale Graphs U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos In IEEE International Conference on Data Mining (ICDM) 2010, Sydney, Australia, USA • HADI: Mining Radii of Large Graphs U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure Leskovec In ACM Trasactions on Knowledge Discovery from Data (TKDD), 2011 • Patterns on the Connected Components of Terabyte-Scale Graphs U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos In IEEE International Conference on Data Mining (ICDM) 2010, Sydney, Australia, USA • Inference of Beliefs on Billion-Scale Graphs  U Kang, Duen Horng Chau, and Christos Faloutsos In Large-scale Data Mining: Theory and Applications (LDMTA), 2010 • PEGASUS: Mining Peta-Scale Graphs U Kang, Charalampos E. Tsourakakis, and Christos Faloutsos In Knowledge and Information Systems (KAIS), Springer, 2010 • Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations  U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure Leskovec In SIAM International Conference on Data Mining (SDM 2010) • Counting Triangles in Real-World Networks using Projections Charalampos E. Tsourakakis In Knowledge and Information Systems • MACH: Fast Randomized Tensor Decompositions  Charalampos E. Tsourakakis In SIAM International Conference on Data Mining (SDM 2010) • PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations U Kang, Charalampos E. Tsourakakis, Christos Faloutsos In IEEE International Conference on Data Mining (ICDM 2009) Best Applications Paper (runner up) • RTG: A Recursive Realistic Graph Generator using Random Typing Leman Akoglu, Christos Faloutsos. ECML PKDD, Bled, Slovenia, Sep. 2009. Best Knowledge Discovery Paper • Large Human Communication Networks: Patterns and a Utility-Driven Generator Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu. ACM SIGKDD, Paris, France, June 2009. • Doulion: Counting triangles in massive graphs with a coin  Charalampos E. Tsourakakis, U Kang, Gary L. Miller, and Christos Faloutsos In Knowledge Discovery and Data Mining (KDD '09) • Approximate Triangle Counting Charalampos E. Tsourakakis, Mihail N. Kolountzakis, and Gary L. Miller CoRR, abs/0904.3761, 2009. • HADI: Fast diameter estimation and mining in massive graphs with Hadoop  U Kang, Charalampos E. Tsourakakis, A. Appel, Christos Faloutsos and Jure Leskovec CMU ML Tech Report CMU-ML-08-117, 2008 • RTM : Laws and a Recursive Generator for Weighted Time-Evolving Graphs  Leman Akoglu, Mary McGlohon, Christos Faloutsos. ICDM IEEE International Conference on Data Mining, Pisa, Italy, Dec. 2008. • Weighted Graphs and Disconnected Components: Patterns and a Generator  Mary McGlohon, Leman Akoglu, Christos Faloutsos. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, Aug. 2008. Tutorials and Talks RTG: A Recursive Realistic Graph Generator using Random Typing. Talk in PKDD 2009, by Leman Akoglu and Christos Faloutsos. Large Graph-Mining: Power Tools and a Practitioner's Guide Tutorial T3 in KDD2009, by Christos Faloutsos, Gary L. Miller and Charalampos E. Tsourakakis (video) Mining Billion-node Graphs: Patterns, Generators and Tools by Christos Faloutsos. Keynote speech, Network Science Day, Penn State University, April 2010. Publications DOWNLOAD USING PEGASUS PUBLICATIONS ABOUT SCHOOL OF COMPUTER SCIENCE