Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
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Updated
Jan 4, 2020 - Python
Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
Variational Graph Recurrent Neural Networks - PyTorch
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.
This is the complementary repository for "Payment fraud identification by means of business process anomaly detection", the master thesis of Keyvan Amiri Elyasi submitted at the Junior Professorship of Management Analytics, University of Mannheim (July 2022)
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
Paper Lists for Graph Neural Networks
Impact of topic drift on research outcome of a research group.
[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
Multi-level Graph Autoencoder (GAE) to clarify cell cell interactions and gene regulatory network inference from spatially resolved transcriptomics
Malicious PDF Detector by (random forest & GNN(GAE))
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.
Implementation of GNN - Node embeddings, classification & Link Prediction on CORA & soc-hamsterster dataset
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