Abstract: Many anomaly detection applications naturally pro-duce datasets that can be represented as bipartite graphs (user-interaction-item graphs). These graph datasets are usually sup-plied with ...

Abstract: In this paper, we present a novel graph theoretic approach to the problem of document-word co-clustering. In our approach, documents and words are modeled as the two vertices of a bipartite ...

In this paper, we shall investigate certain homological invariants of edge rings of Banana tree graphs B k, n in terms of associated combinatorial data. More precisely, we shall show that the ...

Graph Reduction/ Summarization / Simplification [arXiv 2024] Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study. [arXiv 2024] GC4NC: A Benchmark Framework for Graph Condensation ...

Inferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each ...

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications.

Examine the set of graphs below for a given city. Read carefully the temperature and precipitation scales on the graphs. Review the biome information. Two biome choices are given for each set of ...

A dot plot is a statistical graph consisting of data points plotted as dots. A dot plot is a simple form of data visualization that consists of data points plotted as dots on a graph with an x ...

But what if the real power of data isn’t just in how much you have, but in how well you understand the relationships between it? That’s where graph analytics steps in. The challenge, until now, has ...