liu-jc Goto Github PK

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

conference-acceptance-rate

Acceptance rates for the major AI conferences

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

django_webdb

dl4disassortativegraphs

Papers about developing DL methods on disassortative graphs

eignn

The official implementation of EIGNN: Efficient Infinite-Depth Graph Neural Networks (NeurIPS 2021)

imglab_v2

knowledgegraphembedding

learning-to-run

liu-jc

Config files for my GitHub profile.

lscale

The implementation of LSCALE: Latent Space Clustering-Based Active Learning for Node Classification

mgnni

The implementation of MGNNI: Multiscale Graph Neural Networks with Implicit Layers (NeurIPS 2022)

mtranse-tf

Tensorflow implementation of MTransE+KDCoE, and WK3l-60k dataset

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

nips2017-learningtorun

NIPS 2017 learning to run challenge

pingjiao

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_ngcf

PyTorch Implemenation for Neural Graph Collaborative Filtering

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

stanford_dl_ex

teach_evaluate

uni2ts

Unified Training of Universal Time Series Forecasting Transformers

visual_genome_python_driver

A python wrapper for the Visual Genome API