GitHub

Graph Positional Autoencoders as Self-supervised Learners (GraphPAE)

accelerate==0.33.0 numpy==1.24.4 ogb==1.3.6 pandas==2.2.3 PyYAML==6.0.2 rdkit_pypi==2022.9.5 scikit_learn==1.3.2 scipy==1.8.1 torch==2.1.2+cu121 torch_geometric==2.6.1 torch_scatter==2.1.2+pt21cu121 ...
GitHub

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection

1️⃣ AnomalyGFM is the first GAD-oriented GFM with strong zero-shot and few-shot generalization abilities. 2️⃣ AnomalyGFM is pre-trained to learn discriminative, graph-agnostic class prototypes with ...
IEEE

Linking Text and Visualizations via Contextual Knowledge Graph

Abstract: The integration of visualizations and text is commonly found in data news, analytical reports, and interactive documents. For example, financial articles are presented along with interactive ...
IEEE

Spatial–Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive ...