Abstract: Cross-Modal Task Verification (CMTV) assesses whether a procedural task is executed accurately according to language-based rules, presenting challenges due to its multi-modal and ...
Abstract: Sorting signals from multifunction radars (MFRs) in complex electromagnetic environments is challenging due to the “batch-increasing” problem, where a single MFR’s operating modes are ...
Graph representation learning (GRL) has emerged as an effective technique for modeling graph-structured data. When modeling the heterogeneity and dynamics in real-world complex networks, GRL methods ...
Unified Relative Representations Entities and relations are contextualised—embeddings are computed on-the-fly from the hypergraph structure, not stored in lookup tables. Hypergraph Layer Custom ...
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