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benedekrozemberczki / awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism node2vec graph-embedding network-embedding node-embedding graph-representation-learning deepwalk graph-convolutional-networks

Python

4789

739

2 年前

benedekrozemberczki / CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

capsgnn capsule-network capsule-neural-networks convolution PyTorch research Tensorflow 机器学习深度学习 gnn deepwalk node2vec graph-attention-networks graph-attention-model scikit-learn struc2vec graph-convolution graph-neural-network

Python

1254

199

2 年前

ImMohammadHosseini / HeCo

✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

graph-attention-model graph-embeddings graph-neural-networks

Python

2 年前

jordan7186 / GAtt

Source code for the GAtt method in "Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint".

attention attention-mechanism graph-attention-model graph-attention-networks explainable-ai Python xai

Jupyter Notebook

4 个月前