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awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

benchmarking-gnns

Repository for benchmarking graph neural networks

cenalp-implementation

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

dgl

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

dragon

[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

dsaa_duo

gan

gmm_estimation

gnnpapers

Must-read papers on graph neural networks (GNN)

inter-domain_lp

line_in_pytorch

Implementation for LINE model in pytorch. Based on some tensorflow codes at

llama

Inference code for LLaMA models

local-regression-loess

implementation for the Local Regression LOESS

mpnn

nanot5

Fast & Simple repository for pre-training and fine-tuning T5-style models

object-detection_yolo

optimal-transport-distance

otea

Code of OTEA (IJCAI 2019)

phucdoitoan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

poisson-image-editting

My Implementation of the Poisson Image Editting in Python/Numpy

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_geometric_temporal

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

rescal

tgn

TGN: Temporal Graph Networks

unigram-and-bigram-models

implementing unigram and bigram models for a simple input method: input sequence of number (0-9) and space bar -> output a proper sentence