vijaydwivedi75

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

LargeGT

Graph Transformers for Large Graphs

TopMost

A Topic Modeling System Toolkit

geometric-rna-design

gRNAde: Geometric Deep Learning for 3D RNA inverse design

directed-graph-neural-network

Dir-GNN is a machine learning model that enables learning on directed graphs.

probing-graph-transformers

Code for our paper "Attending to Graph Transformers"

Graph-ViT-MLPMixer

Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

ogb-lsc-pcqm4mv2

The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured data

awesome-graph-transformer

Papers about graph transformers.

clrs

GTaxoGym

Taxonomy of Benchmarks in Graph Representation Learning

SAT

Official Pytorch code for Structure-Aware Transformer.

lrgb

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

GAD

SignNet-BasisNet

SignNet and BasisNet

HGNet

Hierarchical Graph Net

3DInfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

scipy

SciPy library main repository

efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

ATSPrivacy

AutoML, Privacy Preserving, Federated Learning

SAN

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!

egnn

Non-Homophily-Benchmarks

[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs

DIG

A library for graph deep learning research

TSP_Transformer

Code for TSP Transformer

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.