Pinned Repositories
123
2020-2021-Seminar-Materials
2020年-2021年 讨论班ppt
a_human_perception_model
AdapGL-pytorch
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
AutoCF
[WWW'23] "Automated Self-Supervised Learning for Recommendation"
Autoencoder_Outliers
BaiduStreetViewSpider
Bi-FI
CSLSL
PyTorch Implementation of CSLSL
ywhuazhong's Repositories
ywhuazhong/Bi-FI
ywhuazhong/CO_Predict_Code
Use SAGE or other GNN model to predict CO emission level.
ywhuazhong/Diff-MTS
Source codes for the paper "Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era"
ywhuazhong/Diff-RNTraj
ywhuazhong/FLAME
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments (arXiv:2408.11051)
ywhuazhong/gen_agent_langchain
ywhuazhong/geoRF
ywhuazhong/geoshapley
A game theory approach to measuring spatial effects from machine learning models.
ywhuazhong/gnnwr
A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR)
ywhuazhong/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
ywhuazhong/GridMapping
ywhuazhong/HGSAGE
An effective Heterogeneous Information Network Representation Learning Framework
ywhuazhong/KGDAE
ywhuazhong/LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
ywhuazhong/LLM-Mob
Large Language Models as Human Mobility Predictors
ywhuazhong/MapGeneralizer
ywhuazhong/MGCL
The complete codes of the paper "Multimodal Graph Contrastive Learning for Recommendation"
ywhuazhong/MMSSL
[WWW'2023] "Multi-Modal Self-Supervised Learning for Recommendation"
ywhuazhong/Next-POI-Recommendation
ywhuazhong/OSLPNet
ywhuazhong/physically-rational-data-augmentation-for-energy-consumption-estimation-of-electric-vehicles
Data and Code for Our paper: Physically Rational Data Augmentation for Energy Consumption Estimation of Electric Vehicles
ywhuazhong/PyGRF
ywhuazhong/RoBus_Dataset
ywhuazhong/scenery_spider_web
Scrapy爬取去哪儿网，并使用Django框架+PyEcharts实现可视化大屏。
ywhuazhong/Soundscape-to-Image
ywhuazhong/ST-EVCDP
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
ywhuazhong/Street-Light-Dataset
ywhuazhong/TreeShadeMapper
ywhuazhong/urban-resource-cadastre-repository
Urban Resource Cadastre Repository: Multi-label classification model and annotated street-level imagery dataset for building facade material detection. Curated from cities including Tokyo, NYC, and Zurich.
ywhuazhong/XGeoML
An ensemble Framework for Explainable Geospatial Analysis Machine Learning Models