graph-attention-networks topic
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy...
awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.