resources for graph convolutional networks (图卷积神经网络相关资源)
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Updated
Jul 12, 2019
resources for graph convolutional networks (图卷积神经网络相关资源)
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Detecting American Sign Language using Graph Conv Network and Mediapipe
Anomaly Detection architecture on Multivariate Time-Series. Self-supervised. Inspired by [AnomalyBERT](https://arxiv.org/abs/2305.04468v1) and [MTAD-GAT](https://arxiv.org/pdf/2009.02040.pdf)
[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
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