Paper Lists for Graph Neural Networks
-
Updated
Dec 29, 2023
Paper Lists for Graph Neural Networks
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"
Multi-level Graph Autoencoder (GAE) to clarify cell cell interactions and gene regulatory network inference from spatially resolved transcriptomics
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
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)
Impact of topic drift on research outcome of a research group.
Add a description, image, and links to the graph-auto-encoder topic page so that developers can more easily learn about it.
To associate your repository with the graph-auto-encoder topic, visit your repo's landing page and select "manage topics."