KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Representation learning on dynamic graphs using self-attention networks
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Representing Long-Range Context for Graph Neural Networks with Global Attention
A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
#计算机科学#ResNeSt: Split-Attention Networks
翻译 - ResNeSt:注意力分散网络
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)
PyTorch Implementation of Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
Incorporating Edge Attributes in Relational Graph Attention Networks for Event Temporal Relation Extraction
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)