The official PyTorch implementation of the paper Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection, published in the Pattern Recognition Journal.
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Updated
Jul 25, 2024 - Python
The official PyTorch implementation of the paper Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection, published in the Pattern Recognition Journal.
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"
Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
An astronomical event listener and data analysis library
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
The PyTorch implementation of STGCN.
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
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.
Multilabel Aspect Prediction using Graph Convolutional Networks
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
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