Hogun Park's starred repositories
google-research
Google Research
pytorch_geometric
Graph Neural Network Library for PyTorch
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
Awesome-Federated-Learning-on-Graph-and-GNN-papers
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Tutorial_BayesianCompressionForDL
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
pytorch-AGNN
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
DynamicTriad
Dynamic Network Embedding by Modeling Triadic Closure Process
interview-questions
Interview questions from multiple tech companies
DNN_commonsense-reasoning
Attempt to implement the paper "Probabilistic Reasoning via Deep Learning: Neural Association Models" by Quan Liu † , Hui Jiang ‡ , Andrew Evdokimov ‡ , Zhen-Hua Ling † , Xiaodan Zhu ` , Si Wei § , Yu Hu †§
hybrid-expert-intuition-model
Codebase for Resolving Conflicts between Experts’ Intuition and Data-Driven Models