cshjin

GCL

List of Publications in Graph Contrastive Learning

awesome-nonconvex-optimization

A collection of papers and readings for non-convex optimization

gnn_in_neurips_2019

A comprehensive collection of GNN works in NeurIPS 2019.

fedsimul

A project for simulation of Asynchronous Federated Learning

GCN-TF2.0

Vanilla Implementation of Graph Convolutional Networks

Microgrid_sim

MinCutAlgo

An implementation of Karger's Min-Cut Algorithm and Karger-Stein Algorithm.

LATGCN

LATGCN, a GCN model with sensitivity as regularizer

swmp_ml

AMPL-project

This is a primal project related to course MATH 535, however the AMPL (A mathematical Programming Language) is the main object

CS412Yelp

IJCAI22-GWLDP

IJCAI22 - Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs

planetoid

Semi-supervised learning with graph embeddings

ai-science-training-series

All-in-one-of-graph-convolutional-networks

A collection of published works based on graph convolutional networks

cert_ogw

Source code of the paper "Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats" at NeurIPS'22

julia_tutorial_101

A tutorial for the Julia programming language

networkx

Official NetworkX source code repository.

nsopy

Methods for Non-Smooth Convex Optimization (NSO), written in Python

ogw

Orthogonal Gromov-Wasserstein Distance

pl_in_neurips_2019

Private learning in NeurIPS 2019

POT

POT : Python Optimal Transport

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)