Summarizing and understanding large graphs

Danai Koutra(University of Michigan), Christos Faloutsos(Carnegie Mellon University), Jilles Vreeken(Max Planck Society), U Kang(Korea Advanced Institute of Science and Technology)
Statistical Analysis and Data Mining The ASA Data Science Journal
May 18, 2015
10.1002/sam.11267
Cited by 81

Related Papers

Graph based anomaly detection and description: a survey
|Data Mining and Knowledge Discovery|2014|1.5k
RolX
|Unknown|2012|391
Anomaly detection in dynamic networks: a survey
|Wiley Interdisciplinary Reviews Computational Statistics|2015|376
Graph Summarization Methods and Applications
|ACM Computing Surveys|2018|269
Beyond Homophily in Graph Neural Networks: Current Limitations and\n Effective Designs
|arXiv (Cornell University)|2020|265