A Comparative Study of GNNs and Rule-Based Methods for Synthetic Social Network Generation

A Comparative Study of GNNs and Rule-Based Methods for Synthetic Social Network Generation

Social network data, and web-graph data in general, sees great amounts of research and is widely used commercially. Due to privacy or other concerns it often cannot be shared verbatim. Synthetic counterparts to such data allow easier and safer sharing. Models currently applied to producing such synt...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Alex O. Davies, Nirav S. Ajmeri, Telmo De Menezes E. Silva Filho
स्वरूप: लेख
भाषा:English
प्रकाशित: IEEE 2025-01-01
श्रृंखला:IEEE Access
विषय:
Graph neural network
deep learning
social networks
synthetic data
generative model
ऑनलाइन पहुंच:https://ieeexplore.ieee.org/document/10879487/

इंटरनेट

https://ieeexplore.ieee.org/document/10879487/

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