中文LaTeX简历模板

🎯 Projecting Molecules into Synthesizable Chemical Spaces (ICML 2024)

CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes

Official repository of ReactZyme

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

JittorGeometric is a Jittor-based graph machine learning library.

A GFlowNet with a chemical synthesis action space.

A curated list of resources about generative flow networks (GFlowNets).

ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)

Reaction-Conditioned Virtual Screening of Enzymes

SciAssess is a comprehensive benchmark for evaluating Large Language Models' proficiency in scientific literature analysis across various fields, focusing on memorization, comprehension, and analysis.

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

an efficient distributed PyTorch framework

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit a…

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

pytorch learning tutorials

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

A curated list of adversarial attacks and defenses papers on graph-structured data.

Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

A pytorch adversarial library for attack and defense methods on images and graphs

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Semi-supervised learning with graph embeddings