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cs.LG2026
Causality-Driven Disentangled Representation Learning in Multiplex Graphs
Saba Nasiri, Selin Aviyente, Dorina Thanou
Learning representations from multiplex graphs, i.e., multi-layer networks where nodes interact through multiple relation types, is challenging due to the entanglement of shared (c…
cs.LG2025
Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition
Rachita Mondal, Mert Indibi, Tapabrata Maiti +1
Anomaly detection in spatiotemporal data is a challenging problem encountered in a variety of applications, including video surveillance, medical imaging data, and urban traffic mo…