• keras=2.1.5 • tensorflow=1.5 • numpy=1.16.4 • seaborn=0.9.0 • scikit-learn=0.22 • matplotlib=3.1.2 ...

To help draw a straight line graph from its equation, fill in a table of 𝑥 and 𝑦 values. Plot the pairs of values as coordinates and join to make a line. Make sure ...

Abstract: Graph anomaly detection (GAD) has attracted increasing interest due to its critical role in diverse real-world applications. Graph neural networks (GNNs) offer a promising avenue for GAD, ...

However, their application to multi-relational graph anomaly detection problems on real-world datasets presents several challenges that significantly hinder performance: the structural noise and ...

Apr. 25, 2025 — Astronomers have discovered that super-Earth exoplanets are more common across the universe than previously thought. While it can be relatively easy to locate worlds that orbit ...

and graph foundation model. [Li2024] Anomaly Detection of Tabular Data Using LLMs in IJCAI-W, 2024. [paper] [code] [Tsai2025] AnoLLM: Large Language Models for Tabular Anomaly Detection in ICLR, 2025.

This Research Topic aims to bring together cutting-edge research and practical advancements in the development and application of graph-guided neural networks for anomaly detection in chemical ...