IEEE

TDGNet: Two different graph convolutional networks for approximate subgraph matching

Abstract: Subgraph matching is a fundamental problem with applications across various domains, involving the identification of a query graph within a larger target graph. Graph Neural Networks (GNNs) ...
EurekAlert!

Graph transformer model advances disease comorbidity prediction with subgraph-aware encoding

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
Hosted on MSN

Python physics lesson 3: Exploring graphs and core concepts

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...
GitHub

SAGAN: A Subgraph-Aware Graph Attention Network for Drug repositioning

python==3.8.10 torch==2.0.1+cu117 torch-geometric==2.6.1 torch-scatter==2.1.2 torch-sparse==0.6.18 pytorch_lightning==1.9.0 labml==0.4.168 In our experiment setting: cuda11.7 Note: If there is a ...
MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...
IEEE

Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection

Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from others in a graph dataset. Existing methods predominantly rely on standard Graph Neural Networks ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...
The Verge

OpenAI gets caught vibe graphing

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...
Scientific Research Publishing

Elseidy, M., Abdelhamid, E., Skiadopoulos, S. and Kalnis, P. (2014) GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. Proceedings of the VLDB Endowment, 7 ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...
Nature

Graph Classification Techniques

Graph classification is a rapidly evolving discipline that applies sophisticated methods to assign categorical labels to complex network structures. This field bridges graph theory, machine learning ...
marktechpost

A Coding Implementation for Creating, Annotating, and Visualizing Complex Biological Knowledge Graphs Using PyBEL

In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, ...