BigGraph 2015 - 2nd International Workshop on High Performance Big Graph Data Management, Analysis,and Mining (BigGraph 2015)

This workshop aims to bring together researchers from different paradigms solving big graph problems under a unified platform for sharing their work and exchanging ideas. We are soliciting novel and original research contributions related to big graph data management, analysis, and mining (algorithms, software systems, applications, best practices, performance). Significant work-in-progress papers are also encouraged. Papers can be from any of the following areas including but not limited to:
● Parallel algorithms for big graph analysis on HPC systems
● Heterogeneous CPU-GPU solutions to solve big graph problems
● Extreme-scale computing for large graph, tensor, and network problems
● Sampling and summarization of large graphs
● Graph algorithms for large-scale scientific computing problems
● Graph clustering, partitioning, and classification methods
● Scalable graph topology measurement: diameter approximation, eigenvalues, triangle and graphlet counting
● Parallel algorithms for computing graph kernels
● Inference on Large graph data
● Graph evolution and dynamic graph models
● Graph databases, novel querying and indexing strategies for RDF data
● Novel applications of big graph problems in bioinformatics, health care, security, and social networks
● New software systems and runtime systems for big graph data mining