GraphGallery is a gallery for benchmarking Graph Neural Networks
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Updated
Aug 14, 2023 - Python
GraphGallery is a gallery for benchmarking Graph Neural Networks
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
A repo for baseline of graph pooling.
API wrapper for DolarPy
Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova
Latent Graph Diffusion 论文复现 | 图扩散生成 + 节点分类 | PyTorch + PyG
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