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
big_data_and_urban_computing_course
Course materials for big data and urban computing (2020 fall semester).
CSLSL
PyTorch Implementation of CSLSL
ywhuazhong's Repositories
ywhuazhong/AutoCF
[WWW'23] "Automated Self-Supervised Learning for Recommendation"
ywhuazhong/Autoencoder_Outliers
ywhuazhong/building_height
ywhuazhong/catchcore
CatchCore: Catching Hierarchical Dense Subtensor [ECMP-PKDD 2019]
ywhuazhong/data_for_building_efficiency_study
ywhuazhong/gen_agent_langchain
ywhuazhong/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
ywhuazhong/Graph-based-mobility-profiling
Code accompanying our paper "Graph-based Mobility Profiling"
ywhuazhong/GridMapping
ywhuazhong/GSL-sidewalk-comfort
ywhuazhong/HeMuc
ywhuazhong/HGCL
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
ywhuazhong/HGMAE
Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
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/MapGeneralizer
ywhuazhong/MASO-MSF
ywhuazhong/mgcat
ywhuazhong/MGCL
The complete codes of the paper "Multimodal Graph Contrastive Learning for Recommendation"
ywhuazhong/MKCGN
ywhuazhong/MMSSL
[WWW'2023] "Multi-Modal Self-Supervised Learning for Recommendation"
ywhuazhong/Next-POI-Recommendation
ywhuazhong/OSLPNet
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/trackintel
trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
ywhuazhong/ufo-prediction
Using urban form information to predict building attributes
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/UrbanKG-KnowCL
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
ywhuazhong/XiaohuLuVPDetection
This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf