Hi, I am curious about the implementation choice of the Graph in NanoFlow. Why does NanoFlow choose to implement a custom Graph based on networkx.DiGraph instead of using the FxGraph from torch.dynamo ...
Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...
sage: D = DiGraph({0: [1, 2], 1: [2], 2: [3], 3: [3]}) sage: D.dig6_string() ----- ValueError Traceback (most recent call last) Cell In [1], line 2 1 D = DiGraph ...
Abstract: The distance of digraphs is one of the most basic structural parameters in graph theory, and it plays an important role in analyzing the effectiveness of interconnection networks. In ...
Graph theory is the study of networks and connections between variables. In the real world it has uses from powering search engine algorithms to fixing airline scheduling. Now, scientists are using it ...
Abstract: This study proposes a filtering method for directed graph (digraph) signals. In order to realize digraph filtering, a novel graph Fourier transform (GFT), – Augmented GFT (AuGFT) –, is ...
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