Multi-Stream Graph Mining

Papers

1. Y. Hou and L. Holder. On Graph Mining with Deep Learning: Introducing Model R for Link Weight Prediction. Journal of Artificial Intelligence and Soft Computing Research (JAISCR), 2018.
2. S. Choudhury, S. Purohit, P. Lin, Y. Wu, L. Holder, and K. Agarwal. Percolator: Scalable Pattern Discovery in Dynamic Graphs. International Conference on Web Search and Data Mining (WSDM), February 2018.
3. S. Purohit, S. Choudhury, and L. Holder. Application-Specific Graph Sampling for Frequent Subgraph Mining and Community Detection. IEEE International Conference on BigData, December 2017.
4. C. Packer and L. Holder. GraphZip: Mining Graph Streams using Dictionary-based Compression. SIGKDD Workshop on Mining and Learning in Graphs (MLG), August 2017.
5. S. Akter and L. Holder. Using Graphical Features To Improve Demographic Prediction From Smart Phone Data. SIGMOD Workshop on Network Data Analytics, May 2017.
6. Y. Hou and L. Holder. Deep Learning Approach to Link Weight Prediction. International Joint Conference on Neural Networks (IJCNN), May 2017.