research
∙
03/19/2023
Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs
Using graph neural networks (GNNs) to approximate specific functions suc...
share
research
∙
01/28/2022
Neural Approximation of Extended Persistent Homology on Graphs
Persistent homology is a widely used theory in topological data analysis...
research
∙
10/06/2021
A Topological View of Rule Learning in Knowledge Graphs
Inductive relation prediction is an important learning task for knowledg...
research
∙
05/06/2021
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
Encoder-decoder models have made great progress on handwritten mathemati...
research
∙
04/24/2021
Automatic Description Construction for Math Expression via Topic Relation Graph
Math expressions are important parts of scientific and educational docum...
research
∙
02/20/2021
Persistence Homology for Link Prediction: An Interactive View
Link prediction is an important learning task for graph-structured data....
research
∙
12/23/2020