83 datasets found

The dataset used in the paper is a collection of real-world benchmark datasets for node classification.

Bipartite graphs with capacities and weights, used for training and evaluation of neural bipartite matching.

The dataset used in this paper is SchNet, which is a dataset of molecular structures.

The dataset used in this paper is QM9 and MD17, which are computational chemistry datasets.

Anomalous citation detection in academic citation networks

The dataset used in the paper is a citation network, specifically Cora, CiteSeer, PubMed, Coauthor-CS, and Coauthor-Physics.

The dataset used in this paper is the Polblogs dataset, which contains 1,222 blogs.

DiffAssemble is a unified learning-based solution using diffusion models and graphs neural networks for reassembly tasks that achieve SOTA results in most 2D and 3D without...

The dataset used in the paper is a graph neural network (GNN) dataset, where the goal is to learn a GNN with one hidden layer for node information convolution.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on a graph generation task.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on three sets of experiments: abstract graph generation,...

The Coauthor Physics dataset is a co-authorship graph extracted from the Microsoft Academic Graph, with a focus on Physics research.

This dataset contains graph-structured data and its corresponding features.

Multivariate Time-Series (MTS) data is crucial in various application fields. With its sequential and multi-source (multiple sensors) properties, MTS data inherently exhibits...

The dataset used in the paper is Amazon Books, Amazon Toys, and Retailrocket.

UniSG: A unified entity-component-system in a scenegraph architecture, designed to address the demands of scientific, visual, and neural computing applications.

UniSG^GA: A novel integrated scenegraph structure that incorporates behavior and geometry data on a 3D scene, designed to seamlessly integrate Graph Neural Networks (GNNs) and...

The dataset used for predicting the trajectories of multiple fixed-wing UAVs over an extended prediction horizon.

OGB-MAG is a large-scale dataset used for node classification and link prediction.

DBLP, IMDB, ACM, and Freebase are four public datasets used for node classification and link prediction.