longlee220 Goto Github PK

alignn

Atomistic Line Graph Neural Network; https://pages.nist.gov/jarvis_leaderboard/

awesome-hyperbolic-graph-representation-learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

basic_neural_networks_pytorch

最入门的神经网络示例代码,pytorch版

ceshi

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

dgl

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

dimenet

A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).

gated-graph-transformers

Transformers are Graph Neural Networks!

gatgnn

Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction

gnns-for-node-classification

Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in the future.

graph-algorithm

简单实现算法逻辑

graphembedding

Implementation and experiments of graph embedding algorithms.

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphsage

消息传递GNN模型GraphSAGE

gtrick

Bag of Tricks for Graph Neural Networks.

hypergraph

iclr2023

k_sage

longlee220.github.io

machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

matformer

Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)

mlpractice

transform LSTM

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

randomwalk-node2vec

实验草稿

recommendation

transformers-benchmarks

vae

Implementation of VAE and CVAE using Pytorch on MNIST dataset