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  • πŸ‘‹ Hi, I’m Mir Junaid.
  • πŸ‘€ I’m interested in High-Performance Computing, Large Language Models, Computer Vision, & Graph ML.
  • πŸ’žοΈ I’m looking to collaborate on Graph Machine Learning, Geometric Deep Learning, and High-Performance Computing in AI.
  • πŸ“« Reach me at LinkedIn...

Mir Junaid's Projects

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gnnpractice icon gnnpractice

Practice of Graph Neural Network using DGL and pyTorch geometric

graph4nlp icon graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

graph_weather icon graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

graphgym icon graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsaint icon graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

graphtsne icon graphtsne

PyTorch implementation of GraphTSNE, ICLR’19

grasp icon grasp

GraSP: a Graph Signal Processing toolbox for Matlab

gspbox icon gspbox

Graph Signal Processing in Matlab

ilpc2022 icon ilpc2022

πŸ… KG Inductive Link Prediction Challenge (ILPC) 2022

jraph icon jraph

A Graph Neural Network Library in Jax

l-gcn icon l-gcn

End-to-end learning on complex multi-edge graphs with latent-graph convolutional networks.

masif icon masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

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