hogunpark

google-research

Google Research

pytorch_geometric

Graph Neural Network Library for PyTorch

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

GNNPapers

Must-read papers on graph neural networks (GNN)

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

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

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)

bayes-nn

Lecture notes on Bayesian deep learning

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

mgcnn

Multi-Graph Convolutional Neural Networks

Splitter

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

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

DGCN

Dual Graph Convolution Networks

MyoArmbandDataset

DANSER-WWW-19

interview-questions

Interview questions from multiple tech companies

LCShapley

GraRep

A python implementation of the paper "GraRep: Learning Graph Representations with Global Structural Information".

DCI

Deep Collective Inference

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