Hongwei Jin

GCL. List of Publications in Graph Contrastive Learning

awesome-nonconvex-optimization. A collection of papers and readings for non-convex optimization

fedsimul. A project for simulation of Asynchronous Federated Learning

gnn_in_neurips_2019. A comprehensive collection of GNN works in NeurIPS 2019.

GCN-TF2.0. Vanilla Implementation of Graph Convolutional Networks

Microgrid_sim. Python

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

LATGCN. LATGCN, a GCN model with sensitivity as regularizer

swmp_ml. MATLAB

CS412Yelp. Python

ogw. Orthogonal Gromov-Wasserstein Distance

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

planetoid. Semi-supervised learning with graph embeddings

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

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