Graph Alignment Python Library (GALib): a lightweight, user-friendly, and highly versatile Python library for diverse unrestricted graph alignment algorithms. With GALib, you can effortlessly align networks and leverage its extensive range of functionalities.
A paper (in progress) on graph matching via optimal transport. On arxiv at https://arxiv.org/abs/2111.05366
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Unified multimodal classifier: a unified brain graph classification model trained on unpaired multimodal brain graphs, which can classify any brain graph of any size.
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
Repository with the scripts, data and results of the evaluation of 25 graph alignment methods offered by OpenEA
Shazam for human thought — an open research and engineering project for discovering structural, analogical, and complementary resonance between ideas using Thought Graphs, relational fingerprints, and graph alignment.
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