sisaman

LPGNN

Locally Private Graph Neural Networks (ACM CCS 2021)

GAP

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

NPGLM

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)

LDP-mechanisms

PyTorch implementation of a number of mechanisms in local differential privacy

CRMP

Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)

TML

AIDA Short Course: An Introduction to Trustworthy Machine Learning

ProGAP

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)

pyg-datasets

Additional Datasets for PyTorch Geometric

teledump

Dumping Telegram messages

autodp

autodp: A flexible and easy-to-use package for differential privacy

crmp-paper

Predicting Anchor Links between Heterogeneous Social Networks -- ASONAM and arXiv Papers

deadlines

:alarm_clock: AI conference deadline countdowns

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

git-linux-capstone-hall-of-fame

Final part of git-capstone project

infomax

Maximizing the spread of information

mgovdata

MGov Data Analytics

mprandwalk

A meta-path-based random walk generator

npglm-paper

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks -- TKDD Paper

ProgDP

[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

project-by-mac-user

pytorch_geometric

Graph Neural Network Library for PyTorch

resume

Sina Sajadmanesh's CV

Roche

SAU

Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"