IEEE

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
GitHub

An easy-to-use bulk hold-time analyzer, generating graphs for the hold times of osu!standard replays.

To get started, head over to the latest release page on GitHub. From there, locate and download the ZIP file (ending with .zip). Once the download is complete, extract the ZIP file. On the first start ...

The Average Running Distance By Age, According to App Data

Here, the average running distance per run, according to the app: Here, the average weekly mileage: Coros users generally log higher mileage and have an average marathon finish time ranging from 4:19 ...
IEEE

Document-Level Biomedical Relation Extraction via Knowledge-Enhanced Graph and Dynamic Generative Adversarial Networks

Abstract: Biomedical document-level relation extraction (RE) aims to extract relation facts from unstructured biomedical documents and plays an important role in downstream tasks. Graph-based methods ...