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All graph/GNN papers accepted at NeurIPS 2024.
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
A curated list of graph data augmentation papers.
MiniMol is a 10M-parameters molecular fingerprinting model pre-trained on >3300 biological and quantum tasks
Foster the development of impactful AI models in drug discovery.
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
Exploring zero-shot hyper-parameter transfer when scaling width, depth and training steps for in-context linear regression
Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
Graphium: Scaling molecular GNNs to infinity.
Example pybind11 module built with a Python-based build system
Code for our paper "Attending to Graph Transformers"
Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)
Implementation for the paper Ordered Subgraph Aggregation Networks, accepted at NeurIPS 2022
Code related to the paper arXiv:2005.14105.
Graph Neural Network Library for PyTorch
Search for scientific papers on the command line
PyTorch Extension Library of Optimized Scatter Operations
A web-based collaborative LaTeX editor