• # LAMG

• Referenced in 34 articles [sw06551]
• Lean algebraic multigrid (LAMG): fast graph Laplacian linear solver. Laplacian matrices of graphs arise ... presented, where $A$ is a graph Laplacian. LAMG’s run time and storage are empirically ... Laplacian systems is constructed, and an iterative solve phase using multigrid cycles. General graphs pose...
• # SyncSpecCnn

• Referenced in 5 articles [sw26163]
• spectral domain spanned by graph laplacian eigenbases. Under this setting, our network, named SyncSpecCNN, strive ... scale analysis in different parts of the graph for a single shape...
• # Laplacians.jl

• Referenced in 2 articles [sw41227]
• Laplacians.jl: Laplacians is a package containing graph algorithms, with an emphasis on tasks related ... solving systems of linear equations in graph Laplacians, low stretch spanning trees, sparsifiation, clustering, local...
• # SpectralNET

• Referenced in 3 articles [sw26161]
• each connected component of the graph, including graphs of degree distribution, clustering coefficient by degree ... adjacency, Laplacian, and normalized Laplacian eigenvectors. SpectralNET also displays several graph visualizations, including a linear ... provides an elegant view of global graph structure (Laplacian eigenvectors). CONCLUSION: SpectralNET provides an easily...
• # AGL-Score

• Referenced in 2 articles [sw41015]
• terms of graph invariants derived from graph Laplacian, its pseudo-inverse, and adjacency matrices. Additionally ... biomolecular macroscopic properties from the low-dimensional graph representation of biomolecular structures. The proposed...
• # NetLSD

• Referenced in 5 articles [sw32341]
• large graph collections. In this paper, we propose the Network Laplacian Spectral Descriptor (NetLSD ... size-invariant, scale-adaptive, and efficiently computable graph representation method that allows for straightforward comparisons ... graphs. NetLSD extracts a compact signature that inherits the formal properties of the Laplacian spectrum ... thus, it hears the shape of a graph. Our evaluation on a variety of real...
• # spectralGraphTopology

• Referenced in 1 article [sw35465]
• algorithms such as Combinatorial Graph Laplacian Learning (CGL), Spectral Graph Learning (SGL), Graph Estimation based ... Method of Multipliers (GLE-ADMM). In addition, graph learning has been widely employed for clustering ... provide an implementation of the Constrained Laplacian Rank (CLR) algorithm...
• # RGCNN

• Referenced in 1 article [sw36662]
• approximation. In particular, we update the graph Laplacian matrix that describes the connectivity of features ... which adaptively captures the structure of dynamic graphs. Further, we deploy a graph-signal smoothness...
• # Xheal

• Referenced in 9 articles [sw35976]
• second smallest eigenvalue of the Laplacian which captures key properties such as mixing time, conductance ... self-healing algorithms “Forgiving tree” and “Forgiving graph” in that we are able to give...
• # PQSER

• Referenced in 5 articles [sw22074]
• whose interrelationship is defined by a bipartite graph. It has important applications in, e.g., archaeology ... Fiedler vector of the Laplacian matrix associated to the problem, which encodes...
• # HERMES

• Referenced in 2 articles [sw41012]
• earlier work introduced the persistent spectral graph (PSG) theory as a unified multiscale paradigm ... analysis. In PSG theory, families of persistent Laplacian matrices (PLMs) corresponding to various topological dimensions...