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Mtad Gat Pytorch ⭐ 265

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Gnn_note ⭐ 158

图神经网络整理

Gnn Lspe ⭐ 114

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Egt_pytorch ⭐ 58

Edge-Augmented Graph Transformer

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Edge-Augmented Graph Transformer

Graph Transformer Psiml ⭐ 5

Transformer implemented with graph attention network layers from PyTorch Geometric

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