ywhuazhong Goto Github PK

gr-tensorlda

Source code for model GR-TensorLDA

graph-based-mobility-profiling

Code accompanying our paper "Graph-based Mobility Profiling"

gridmapping

gsl-sidewalk-comfort

gstp2vec-travelactivityclassification

Implementation of "Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data"

hemuc

hgcl

[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"

hgmae

Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".

hgsage

An effective Heterogeneous Information Network Representation Learning Framework

hlstrajforecast

The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" accepted to ECCV2022.

homogeneous-geographic-domain-of-human-perceptions

Discovering the homogeneous geographic domain of human perceptions from street view images

housecritic

HouseCritic

human-machine-adversarial

A human-machine adversarial scoring framework for urban perception assessment using street-view images

kgdae

knowledge-and-topology

lemon

lifeke

基于链接实体回放的多源知识图谱终身表示学习

lightgcl

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

location-mode-prediction

[SIGSPATIAL '22] Next location prediction considering travel mode

magnn

mapgeneralizer

maso-msf

matt-multiple-attributes-trajectory-topic-modeling

mgcat

mgcl

The complete codes of the paper "Multimodal Graph Contrastive Learning for Recommendation"

micromobility

Analysis of Chicago's 2019 e-scooter pilot data utilizing Pandas and Matplotlib for EDA, as well as K-Means and Hierarchical clustering unsupervised models to determine how scooter companies can increase their profit.

mkcgn

mmssl

[WWW'2023] "Multi-Modal Self-Supervised Learning for Recommendation"

mobility-demand

mobility_emissions

Collection of methods that compute emissions starting from mobility trajectories.