research
∙
06/15/2022
Taxonomy of Benchmarks in Graph Representation Learning
Graph Neural Networks (GNNs) extend the success of neural networks to gr...
share
research
∙
02/07/2022
Structure-Aware Transformer for Graph Representation Learning
The Transformer architecture has gained growing attention in graph repre...
research
∙
10/28/2021
The magnitude vector of images
The magnitude of a finite metric space is a recently-introduced invarian...
research
∙
10/27/2021
Towards a Taxonomy of Graph Learning Datasets
Graph neural networks (GNNs) have attracted much attention due to their ...
research
∙
06/02/2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Graph generative models are a highly active branch of machine learning. ...
research
∙
11/07/2020