Daniel-TAN

ML-ODE

spatio-temporal prediction/recommendation

Paperlist-for-Spatio-Temporal-Data-Mining

Paperlist for Spatio-Temporal Data Mining

POI-recommendation-datasets

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

Awesome-Federated-Learning-on-Graph-and-Tabular-Data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

basemap-feedstock

A conda-smithy repository for basemap.

DeepHydro

code for "Forecasting the Evolution of Hydropower Generation"

DeepMove

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Gaussian-Mixture-Variational-Sequence-AutoEncoder

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GCN-PyTorch

Graph Convolution Network for PyTorch

GNNPapers

Must-read papers on graph neural networks (GNN)

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

HPMN

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

map_matching

Map Matching

MapMatching

腾云阁高精度车辆追踪算法大赛。给定地图数据和汽车的gps定位数据，通过地图匹配算法得出汽车行驶过了哪些道路

MetaST

MetaST for WWW 2019

NASR_KDD

NeuralODE

The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.

PaLM

An open-source implementation of Google's PaLM models

Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

papers

project_withmj

pytorch-beginner

pytorch tutorial for beginners

Reconstruction-of-Trajectory-recorded-with-Missing-Markers

This repository deals with analyzing various Neural Network approaches and finding the one with the most accurate reconstruction of motion captured trajectories recorded with missing markers in softwares like Vicon Nexus

t2vec

t2vec: Deep Representation Learning for Trajectory Similarity Computation

tmux-config

Tmux configuration, that supercharges your tmux to build cozy and cool terminal environment

Topic-Enhanced-Memory-Networks-for-Personalised-Point-of-Interest-Recommendation

KDD2019

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.