Abstract: Heterogeneous graph representation learning is critical for analyzing complex data structures. Metapaths within this field are vital as they elucidate high-order relationships across the ...
Abstract: This paper introduces a novel Laplacian matrix aiming to enable the construction of spectral convolutional networks and to extend the signal processing applications for directed graphs. Our ...
The methodology presented here is described in depth in Kalirad, A., & Sommer, R. J. (2025). Ecological graph theory: Simulating competition and coexistence on graphs ...
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