G2SAT

HAT

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Atten...

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the p...

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

P-GNN

Position-aware Graph Neural Networks

dfgo

Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021

TinyGPT-V

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Latte

Latte: Latent Diffusion Transformer for Video Generation.

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

powerful-gnns

How Powerful are Graph Neural Networks?

SGGM

graph-nn

Minimal and easy-to-understand PyTorch implementations of popular Graph Neural Networks

BSMS-GNN

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

few-shot-open-set

Implementation of Open-Set Likelihood Maximization for Few-Shot Learning