IEEE

Deep Generative Models for Node Embedding and Neighborhood Prediction in Dynamic Graphs of Recommendation Systems

Abstract: In this article, we develop generative models that generate embeddings for graph nodes while using only their initial features without any knowledge about their neighborhoods and connections ...
GitHub

cornell-zhang/preprop-gnn

git clone https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git cd IGB-Datasets pip install .
IEEE

ViDR-GNN: Vision Implicit Discriminative Reorganization Graph Neural Networks

Abstract: Vision GNNs (ViGs) divide an image into multiple patches, treating these image patches as graph nodes. The image is represented by extracting explicit features from these patches as node ...
GitHub

OmniCellTOSG: The First Text–Omic Dataset and Foundation Model for Single-Cell Signaling Graph Modeling and Analysis

OmniCellTOSG is, to our knowledge, the first cell-level Text–Omic dataset and companion resources for signaling-graph modeling and analysis from single-cell data. It integrates quantitative omics with ...