Predict the number of passengers per plane on some flights

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

This repository contains the official implementation of the paper titled Multimodal weighted graph representation for information extraction from visually rich documents.

Graph Neural Network

This repository is the PyTorch implementation of the Attention-Enhanced Relational Graph Convolutional Networks method for the task Multi-lingual and Cross-lingual Word-in-Context Disambiguation from SemEval-2021.

簡單的GCN實現，希望初學者能從簡單範例學習原理

My implementation of bayesian graph convolution using torch_geometric.

[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"

GCN with MNE input and preprocessing

Deep Learning Session at ACM Summer School 2021

Graph4CTR(GCNs, GATs, HGCNs)

Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"

Implement model in paper Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

PyTorch version for the "Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion"

pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset

Grid-GCN for Fast and Scalable Point Cloud Learning