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).

GATs over event logs. Next-event prediction · bottleneck detection · conformance · Q-learning. PyTorch + PM4Py + Rust (588× on per-case loops).

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"

A self-learning model with a state-based fusion mechanism, graph attention that combines neurons based on the larkos architecture

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

Detecting American Sign Language using Graph Conv Network and Mediapipe