健康学习到150岁 - 人体系统调优不完全指南

Machine learning for machine code.

Python package for graph neural networks in chemistry and biology

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).

Generating DP Synthetic Data without Training

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Website for DGL project

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Bio

⚡ Dynamically generated, customizable SVG that gives the appearance of typing and deleting text. Typing SVGs can be used as a bio on your Github profile readme or repository.

🦑 A GitHub profile auto-generated with metrics, starred topics, an isometric contribution calendar, suggested music tracks, website performances, most used languages, etc. !

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

DGL Implementations of P-GNN

Graph Neural Network Library for PyTorch

Config files for my GitHub profile.

The Clinical Trials Knowledge Graph

Visualization tool for Graph Neural Networks

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Repository for rstWeb, a browser based annotation interface for Rhetorical Structure Theory

This repository is the implementation of "Top-down RST Parsing Utilizing Granularity Levels in Documents" published at AAAI 2020.

Preprocessing code and BERT/XLNet baselines for PDTB 2.0 and 3.0

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Moleculenet.ai Datasets And Splits

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503