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Tag: node

  • Including Node Textual Metadata in Laplacian-constrained Gaussian Graphical Models

    Including Node Textual Metadata in Laplacian-constrained Gaussian Graphical Models arXiv:2602.15920v1 Announce Type: new Abstract: This paper addresses graph learning in Gaussian Graphical Models (GGMs). In this context, data matrices often come with auxiliary metadata (e.g., textual descriptions associated with each node) that is usually ignored in traditional graph estimation processes. To fill this gap, we…

  • Testing for correlation between network structure and high-dimensional node covariates

    Testing for correlation between network structure and high-dimensional node covariates arXiv:2509.03772v1 Announce Type: new Abstract: In many application domains, networks are observed with node-level features. In such settings, a common problem is to assess whether or not nodal covariates are correlated with the network structure itself. Here, we present four novel methods for addressing this…

  • GRAND: Graph Release with Assured Node Differential Privacy

    GRAND: Graph Release with Assured Node Differential Privacy arXiv:2507.00402v1 Announce Type: new Abstract: Differential privacy is a well-established framework for safeguarding sensitive information in data. While extensively applied across various domains, its application to network data — particularly at the node level — remains underexplored. Existing methods for node-level privacy either focus exclusively on query-based…

  • How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API

    How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM,…