Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Multi-view Graph Clustering (MGC) is a crucial approach for uncovering complex data structures by leveraging multiple perspectives of data. However, existing MGC methods face two key ...
GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...
Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Fishing Line Flyback Impact Analysis provides tools for processing multi-sensor force data, calculating impact properties (impulse, energy, velocity), and generating publication-ready statistical ...
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