To create a directed graph in Python for solving problems on LeetCode, you typically represent the graph using data structures such as adjacency lists.

Spectral Bootstrapping: A self-supervised approach that eliminates the need for negative sampling, reducing computational complexity from O(N²) to O(N). Laplacian-based Augmentations: A principled ...

Spectral graph sparsification Part 1: ... computing maximum flow in a graph, and other problems in graphics and data mining. In this first talk we present the design of a “Combinatorial Multigrid” ...

We introduce LapDDPM, a novel conditional Graph Diffusion Probabilistic Model for robust and high-fidelity scRNA-seq generation. LapDDPM uniquely integrates graph-based representations with a ...

Abstract. In this paper, we investigate the spectral properties of the adjacency and the Laplacian matrices of random graphs. We prove that: (i) the law of large numbers for the spectral norms and the ...

Xiaodan Chen ᵃᵇ, Yaoping Hou ᶜ, Upper Bounds for the Signless Laplacian Spectral Radius of Graphs on Surfaces, Filomat, Vol. 30, No. 13 (2016), pp. 3473-3481 Free online reading for over 10 million ...

To address this issue, we propose an efficient and lightweight spectral-spatial feature graph contrastive learning (S2GCL) framework for robust HSI clustering. Specifically, we have designed a novel ...