GitHub

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction.

K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
IEEE

Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning

Abstract: The increasing demand for robust security solutions across various industries has made Video Anomaly Detection (VAD) a critical task in applications such as intelligent surveillance, ...
AlphaGalileo

A survey of dynamic graph neural networks

Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...
GitHub

graph-modeling-language-dataset

ai gplv3 artificial-intelligence dataset gpl3 graph-modeling-language ai2001 ai2001-dataset ai2001-development ai2001-source-code-dataset sc-dataset ai2001-project ai2001-sc-dataset ai2001-source-code ...
AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
IEEE

A Diagnostic Framework for Harmonic Drives Based on Dynamic Graph Data Augmentation and Adaptive Knowledge Distillation for Graphs

Abstract: The operational state of harmonic drives demonstrates nonlinear and nonstationary characteristics, which pose challenges for traditional methods to extract features. Graph neural networks ...