GitHub

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings

This repository contains the code accompanying the paper Graph Alignment for Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings.
GitHub

emadebay/Graph_Convolutional_neural_network_node_alignment

Graph Alignment using Node Embeddings This notebook presents the implementation of graph alignment using node embeddings generated by the node2vec algorithm. The process involves aligning nodes from ...
IEEE

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

Abstract: Graph alignment, which aims at identifying corresponding entities across multiple networks, has been widely applied in various domains. As the graphs to be aligned are usually constructed ...
Microsoft

Impossibility of Partial Recovery in the Graph Alignment Problem

Random graph alignment refers to recovering the underlying vertex correspondence between two random graphs with correlated edges. This can be viewed as an average-case and noisy version of the ...
Frontiers

A layout framework for genome-wide multiple sequence alignment graphs

1 Image and Signal Processing Group, Institute for Computer Science, Leipzig University, Leipzig, Germany 2 Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, ...