Faloutsos, Christos

Graphs over time: densification laws, shrinking diameters and possible explanations

Leskovec, J., Kleinberg, J., & Faloutsos, C. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 2,281

Netprobe: a fast and scalable system for fraud detection in online auction networks

Pandit, S., Chau, D. H., Wang, S., & Faloutsos, C. (2007) · Proceedings of the 16th international conference on World Wide Web

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 382

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks

Beutel, A., Xu, W., Guruswami, V., Palow, C., & Faloutsos, C. (2013) · Proceedings of the 22nd international conference on World Wide Web

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 335

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Hooi, B., Song, H. A., Beutel, A., Shah, N., Shin, K., & Faloutsos, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 305

It's who you know: graph mining using recursive structural features

Henderson, K., Gallagher, B., Li, L., Akoglu, L., Eliassi-Rad, T., Tong, H., & Faloutsos, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 223

CatchSync: catching synchronized behavior in large directed graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 151

Analysis of the reputation system and user contributions on a question answering website: StackOverflow

Movshovitz-Attias, D., Movshovitz-Attias, Y., Steenkiste, P., & Faloutsos, C. (2013) · Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Expert finding and Q&A systemsComplex Network Analysis Techniques

Cited by 141

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · ACM Transactions on Knowledge Discovery from Data

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 88

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Lecture Notes in Computer Science

Complex Network Analysis TechniquesGraph theory and applications

Cited by 82

Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution

Günnemann, S., Günnemann, N., & Faloutsos, C. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Anomaly Detection Techniques and ApplicationsBayesian Methods and Mixture Models

Cited by 47

Inferring lockstep behavior from connectivity pattern in large graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · Knowledge and Information Systems

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 43

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Masserano, L., Ansari, A. F., Han, B., Zhang, X., Faloutsos, C., Mahoney, M. W., Wilson, A. G., Park, Y., Rangapuram, S., Maddix, D. C., et al. (2024) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 1