Variational Graph Recurrent Neural Networks - PyTorch
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Updated
Jul 8, 2020 - Python
Variational Graph Recurrent Neural Networks - PyTorch
[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
The repository of GALG, a graph-based artificial intelligence approach to link addresses for user tracking on TLS encrypted traffic. The work has been accepted as ECML/PKDD 2022 accepted Paper.
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
Range-aware Graph Positional Encoding via High-order Pretraining: Theory and Practice
Repositório de TCC com pipeline completo para experimentos com GNNs: geração de embeddings (GAE/VGAE), avaliação com múltiplos classificadores e ambiente reproduzível via Dev Containers.
Malicious PDF Detector by (random forest & GNN(GAE))
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