Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...

Therefore, to address this challenge, we propose novel relation-aware line graph neural networks for cross-lingual entity alignment (RALG). More specifically, we first propose to learn relation ...

A graph matching library for Python. Contribute to jacquesfize/GMatch4py development by creating an account on GitHub.

Graph convolutional networks (GCNs) are fundamental graph neural networks used for solving node classification problems in graph-structured data. GCNs have been reported to be vulnerable to ...