Pinned Repositories
Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
DCRNN
A simplified PyTorch implementation of the paper https://arxiv.org/abs/1707.01926
Neural-Temporal-Walks
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
TGN
A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637
Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Weibo-Analyst
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
Time-MoE
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
MERIT
[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
MTGODE
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
KimMeen's Repositories
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
KimMeen/Weibo-Analyst
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
KimMeen/Neural-Temporal-Walks
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
KimMeen/SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
KimMeen/TGN
A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637
KimMeen/DCRNN
A simplified PyTorch implementation of the paper https://arxiv.org/abs/1707.01926
KimMeen/STGCN
A PyTorch implementation of the paper https://arxiv.org/abs/1709.04875
KimMeen/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, Event Data, and AIOps.
KimMeen/TGGC
[TPAMI 2025] Official implementation of "Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting"
KimMeen/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
KimMeen/Awesome-Trustworthy-GNNs
KimMeen/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
KimMeen/GraphSage
A PyTorch implementation of the paper https://www-cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf
KimMeen/MTGODE
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
KimMeen/awesome-computer-vision
A curated list of awesome computer vision resources
KimMeen/GCN
A PyTorch implementation of the (GCN) paper https://arxiv.org/abs/1609.02907
KimMeen/KittiBox
A car detection model implemented in Tensorflow.
KimMeen/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
KimMeen/lessons
Teaching materials used by the Research Bazaar
KimMeen/STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022