Adaptive network alignment with unsupervised and multi-order convolutional networks

HT Trung, T Van Vinh, NT Tam, H Yin… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
Network alignment is the problem of pairing nodes between two graphs such that the paired
nodes are structurally and semantically similar. A well-known application of network …

Structural representation learning for network alignment with self-supervised anchor links

TT Nguyen, MT Pham, TT Nguyen, TT Huynh… - Expert Systems with …, 2021 - Elsevier
Network alignment, the problem of identifying similar nodes across networks, is an emerging
research topic due to its ubiquitous applications in many data domains such as social …

Balancing consistency and disparity in network alignment

S Zhang, H Tong, L Jin, Y Xia, Y Guo - Proceedings of the 27th ACM …, 2021 - dl.acm.org
Network alignment plays an important role in a variety of applications. Many traditional
methods explicitly or implicitly assume the alignment consistency which might suffer from …

Deep adversarial network alignment

T Derr, H Karimi, X Liu, J Xu, J Tang - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Network alignment, in general, seeks to discover the hidden underlying correspondence
between nodes across two (or more) networks when given their network structure. However …

Cone-align: Consistent network alignment with proximity-preserving node embedding

X Chen, M Heimann, F Vahedian… - Proceedings of the 29th …, 2020 - dl.acm.org
Network alignment, the process of finding correspondences between nodes in different
graphs, has many scientific and industrial applications. Existing unsupervised network …

Bright: A bridging algorithm for network alignment

Y Yan, S Zhang, H Tong - Proceedings of the web conference 2021, 2021 - dl.acm.org
Multiple networks emerge in a wealth of high-impact applications. Network alignment, which
aims to find the node correspondence across different networks, plays a fundamental role for …

Regal: Representation learning-based graph alignment

M Heimann, H Shen, T Safavi, D Koutra - Proceedings of the 27th ACM …, 2018 - dl.acm.org
Problems involving multiple networks are prevalent in many scientific and other domains. In
particular, network alignment, or the task of identifying corresponding nodes in different …

Multilevel network alignment

S Zhang, H Tong, R Maciejewski… - The World Wide Web …, 2019 - dl.acm.org
Network alignment, which aims to find the node correspondence across multiple networks, is
a fundamental task in many areas, ranging from social network analysis to adversarial …

Adversarial learning for weakly-supervised social network alignment

C Li, S Wang, Y Wang, P Yu, Y Liang, Y Liu… - Proceedings of the AAAI …, 2019 - ojs.aaai.org
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different kinds of services. Linking identical users across multiple social networks, also …

A comparative study on network alignment techniques

HT Trung, NT Toan, T Van Vinh, HT Dat… - Expert Systems with …, 2020 - Elsevier
Network alignment is a method to align nodes that belong to the same entity from different
networks. A well-known application of network alignment is to map user accounts from …