Code I used for my YouTube videos
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Updated
Oct 14, 2024 - Jupyter Notebook
Code I used for my YouTube videos
An astronomical event listener and data analysis library
Graal Development Kit for Micronaut VSCode developer support
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).
This project aims at carry out a multi label text classification process with the help of node classification and by utilizing graph convolution network (GCN).
B站GNN教程资料
Computationally characterizing Metal-Organic Frameworks (MOFs) via graph sparsification with Inverse Link Prediction using GCNs
The PyTorch implementation of STGCN.
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
A sarcasm detection model using Bidirectional Encoder Representations for Transformers (BERT) and Graph Convolutional Networks (GCN) has shown state-of-art results against conventional models and vanilla transformer-based approaches.
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
The official PyTorch implementation of the paper Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection, published in the Pattern Recognition Journal.
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.
Group Recommendation Systems with Diversity-based Clustering and Game Theory
PyTorch implementation of GNN models
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