Multi-label Node Classification

A tool designed to simplify the creation of OpenCore EFI

ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

a new model of catalytic sites prediction

Implementation of ICLR' 25 paper “Multi-Label Node Classification with Label Influence Propagation".

A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Code for the ProteinMPNN paper

Machine learning prediction of enzyme optimum pH

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

Pear admin is a front-end development framework based on layui

[The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values

A game theoretic approach to explain the output of any machine learning model.

Kolmogorov Arnold Networks

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Papers about graph transformers.

Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等，并以曲线图的形式进行展现对比，轻松三步即可实现。

Fuzzy Deep Neural Network.

Unsupervised Domain Adaptation on Graphs

PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs

[ICLR 2022] Graph-Relational Domain Adaptation

This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It aims to leverage the label information in a partially label…

Implementation of the Knowledge Transferable Graph Neural Network (KTGNN), published on WWW2023