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A survey on graph neural networks for intrusion detection systems: methods, trends and challenges
Intrusion detection systems (IDS) play a crucial role in maintaining network security. With the
increasing sophistication of cyber attack methods, traditional detection approaches are …
increasing sophistication of cyber attack methods, traditional detection approaches are …
EgoMUIL: Enhancing spatio-temporal user identity linkage in location-based social networks with Ego-Mo hypergraph
H Huang, F Ding, H Yin, G Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Users tend to own multiple accounts on different location-based social network (LBSN)
platforms, and they typically engage with diverse social circles on each platform within the …
platforms, and they typically engage with diverse social circles on each platform within the …
Hierarchical graph neural network with cross-attention for cross-device user matching
A Taghibakhshi, M Ma, A Aithal, O Yilmaz… - … Conference on Big Data …, 2023 - Springer
Cross-device user matching is a critical problem in numerous domains, including
advertising, recommender systems, and cybersecurity. It involves identifying and linking …
advertising, recommender systems, and cybersecurity. It involves identifying and linking …
Advancing domain decomposition methods and entity resolution with graph neural networks
A Taghibakhshi - 2023 - ideals.illinois.edu
Abstract Domain decomposition methods (DDMs) are popular solvers for discretized
systems of PDEs, with one-level and multilevel variants. Yet the optimal construction of these …
systems of PDEs, with one-level and multilevel variants. Yet the optimal construction of these …
Multi-text Attribute Embedding for Social Network User Alignment
J Liu, J Fan, L Wang - 2024 Sixth International Conference on …, 2024 - ieeexplore.ieee.org
The social network has brought colorful network services to people's life, and user
association mining between different social networks has become research hotpots, which …
association mining between different social networks has become research hotpots, which …