Implementation and experiments of graph embedding algorithms.

清华教参平台爬虫

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

基于Suphx的立直麻将AI

The code and documentation for geo-contextual multitask embedding learner

Code for "Semi-supervised learning, causality and the conditional cluster assumption" (UAI 2020)

OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents

This is the python code and data accompanying the journal article Urban Growth and Emergent Statistics of Cities

The code of Counterfactual RANdom-walk based Embedding (CRANE) algorithm introduced in Identifying Mobility Inequality in Urban Space with Large-scale Open Data

Code for Hybrid Language Models Workflow for High Precision Text-based Citation Prediction

Japanese mahjong score tracking