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Maximizing algebraic connectivity for graph sparsification

Brain graph super-resolution using graph neural networks.

This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)

FoSR: First-order spectral rewiring for addressing oversquashing in GNNs

Graph Signal Processing in R

The code for our ICLR 2024 paper: "Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs"

Multimodal LLM hallucination quantification via KL-smoothed scores + spectral/energy models (RKHS, hypergraphs).

Community-preserving graph expansion via (degree-corrected) SBM. Grow a small graph (e.g., Karate Club) into a larger synthetic graph with the same mesoscale/community structure.

spectral graph theory npm library.

Formally verified mathematical foundations for multi-agent AI coordination — CSP process algebra, multiparty session types, spectral topology, temporal logic model checking, and probabilistic verification.

Graph Uncertainty Principle PlaYground

Advanced spectral watermarking for 3D models with forensic-level proof of ownership. Invisible, robust, mathematically verifiable.

Sacred memory architecture using dodecahedron geometry and spectral graph theory for AI consciousness continuity

Computational indications that no positive edge weighting can reduce the S-bandwidth of a graph.

STITCH: GPU-accelerated 10,000-node SEIR contagion engine with spectral graph theory, Sobol sensitivity analysis, and GNN-based predictive analytics. Dockerized for reproducibility.

Uncovering latent community structures using Spectral, K-Means, and Hierarchical Clustering on Network Graphs (Zachary’s Karate Club Dataset)

A computational survey of small simple connected graphs with integer Laplacian eigenvalues.

Visual-Approaches-for-Clustering-Tendency-Assessment-of-Graph-Data