50 citations · 75 across the 2 of their papers we have counts for
3 papers
cs.SI2020★ 25 cited
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Kyle K. Qin, Flora D. Salim, Yongli Ren +3
Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research approaches this as an optimization problem or comput…
cs.SI2020★ 50 cited
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Xiyuan Chen, Mark Heimann, Fatemeh Vahedian +1
Network alignment, the process of finding correspondences between nodes in different graphs, has many scientific and industrial applications. Existing unsupervised network alignmen…
cs.SI2019
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching
Di Jin, Mark Heimann, Ryan Rossi +1
Identity stitching, the task of identifying and matching various online references (e.g., sessions over different devices and timespans) to the same user in real-world web services…