Paper Lists for Graph Neural Networks

resources for graph convolutional networks （图卷积神经网络相关资源）

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).

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023

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"

Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.

Detecting American Sign Language using Graph Conv Network and Mediapipe