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[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting
The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).
A new markup-based typesetting system that is powerful and easy to learn.
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Optimizing machine scheduling in factories
Making a Class Schedule Using a Genetic Algorithm
A class scheduler using adaptive-elitist genetic algorithm.
Secured Constraints Unit Commitment model of Power system, including the model based on AC flow equation and DC flow equation. Only the constraints in pre-contingency state are considered. There is…
In order to solve the actual vehicle routing problem, an intelligent order allocation algorithm for booking trips online between cities is proposed. The algorithm uses the time and space informatio…
Awesome machine learning for combinatorial optimization papers.
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
LaTeX Template of Southwest Jiaotong University Graduate Student Thesis
Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network"
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
Multi-Graph Convolutional Neural Networks
Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"
[ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
课程编排系统，培训机构（高中）排课系统Java + Springboot2.x + MyBatis-Plus + MySQL 8.x + Vue
The code of AAAI2021 paper of HGCN for Traffic Forecasting