鱼丸粗面参加的阿里云 && PAKDD AIOps挑战赛系列解决方案、答辩文档、代码

NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.

Implementation of PAKDD'20 paper: "Jointly Modelling Attribute Interactions and Relationships for Cross-lingual Knowledge Alignment".