A Bi-objective Graph Partitioning Method Based on Graph Attention and Differentiable Hard Assignment
Abstract: This paper proposes DH-GATP as a solution to the bi-objective graph partitioning problem. DH-GATP is a Graph Neural Network (GNN) model that integrates differentiable hard assignment with a ...
Abstract: The exponential growth of knowledge graphs (KGs) poses significant challenges for scalable graph neural network training, primarily due to the memory and computational bottlenecks of ...
Neuro-Graph-Analytics is a powerful Python library designed for the in-depth analysis of complex neural network architectures through the lens of graph theory. It provides tools to represent neural ...
Dijkstra's Algorithm – for finding the shortest paths from a source node. Kruskal's Algorithm – for computing a Minimum Spanning Tree (MST). DFS with Topological Sort and Cycle Detection – for ...
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