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  • šŸ‘‹ Hi, Iā€™m @Milkigit
  • šŸ‘€ Iā€™m interested in machine privacy and trustworthy AI.
  • šŸŒ± Iā€™m currently learning decentralized trustworthy computing and MPC.
  • šŸ’žļø Iā€™m looking to collaborate on trustworthy AI.
  • šŸ“« How to reach me [email protected].

Min's Projects

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt-gnn icon gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graph2vec icon graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graph4nlp icon graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph_sampling icon graph_sampling

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

graphgym icon graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

graphlime icon graphlime

This is a Pytorch implementation of GraphLIME

graphnorm icon graphnorm

The official implementation of Graph Normalization

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsaint icon graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

graphsim icon graphsim

Graph similarity algorithms based on NetworkX.

graphvite icon graphvite

GraphVite: A General and High-performance Graph Embedding System

hackrf icon hackrf

low cost software radio platform

han icon han

Heterogeneous Graph Neural Network

he-transformer icon he-transformer

nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

herdtools icon herdtools

diy testing tool for weak memory models, herd design

herdtools7 icon herdtools7

The Herd toolsuite to deal with .cat memory models (version 7.xx)

hexo-theme-academia icon hexo-theme-academia

A light & simple & responsive page for academic websites on Hexo, crafted from academicpages on Jekyll.

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