(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movi…

Metric Learning with Graph Convolutional Neural Networks

Code for the paper "Brain Connectivity based Graph Convolutional Networks for Infant Age Prediction"

A multi-purpose GPU-accelerated open-source suite for brain data visualization

Implementation of the node2vec algorithm.

Heterogeneous Graph Neural Network

Python package built to ease deep learning on graph, on top of existing DL frameworks.

复杂网络社区发现算法、评价指标、常用数据集整理

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Contains code for "Analyzing Data-Centric Properties for Contrastive Learning on Graphs"

计算机的优秀课程

[SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation

PyGCL: A PyTorch Library for Graph Contrastive Learning

使用图神经网络与对比学习对图进行嵌入

布谷鸟异构图构建，对比学习

An opinionated list of awesome Python frameworks, libraries, software and resources.

A multi-community spatio-temporal graph convolutional network (MC_STGCN) for passenger demand forecasting at multi-region level

Undergraduate graduation project: Spatial-Temporal Data Analysis based on Graph Convolution Network

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

Spatiotemporal OD prediction based on traffic zones

The PyTorch implementation of STGCN.

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

deep learning for image processing including classification and object-detection etc.

Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset

😁【北京市优秀毕业论文】基于车辆轨迹时空数据的城市热点预测模型研究【Urban hot spot prediction model based on spatiotemporal data of vehicle trajectory】

时空数据的轨迹预测