jcyl

google-research

Google Research

ivy

The Unified AI Framework

django-crispy-forms

The best way to have DRY Django forms. The app provides a tag and filter that lets you quickly render forms in a div format while providing an enormous amount of capability to configure and control the rendered HTML.

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

pyGAT

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

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

planetoid

Semi-supervised learning with graph embeddings

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

BUAAThesis

北航研究生学位论文模板（Word+LaTeX）.

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

CorrectAndSmooth

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

mvgrl

Awesome-Hyperbolic-Learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

GCA

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

GREET

[AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

COSTA

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

ProGCL

[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

H2GCN-PyTorch

A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".

SHGP

NeurIPS 2022 - SHGP

ASP

The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)

M3S_Pytorch

Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"

CG3

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

GOAL-Graph-Complementary-Learning

The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"

ClusterSCL

The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).

M-Mix

SIGKDD 2022 paper

LabelGCN

IGP

Active Learning for GNN (ICLR'22)

GCLAugmentations-BestPractices