MohsenFazaeli

CDSN-LP

CorrectAndSmooth-original-cpu

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

deepwalk

DeepwalkAnalysis

polygonData

Historical Options Data Requests From Polygon.io API

pytorch_geometric

Graph Neural Network Library for PyTorch

GRAND

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

MohsenFazaeli/DeepwalkAnalysis

MohsenFazaeli/polygonData

Historical Options Data Requests From Polygon.io API

MohsenFazaeli/AdaGCN

Official Implementation of AdaGCN (ICLR 2021)

MohsenFazaeli/CDSN-LP

MohsenFazaeli/CDSN-LP-1

MohsenFazaeli/CorrectAndSmooth-original-cpu

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

MohsenFazaeli/deepwalk

MohsenFazaeli/CPF

The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

MohsenFazaeli/DGN

MohsenFazaeli/EnGCN

MohsenFazaeli/gamesAI-chatbot

a AI chatbot for stratgic game

MohsenFazaeli/Graph-MLP

MohsenFazaeli/graphless-neural-networks

[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

MohsenFazaeli/GuidedWalk

Guided Walk Graph Embedding

MohsenFazaeli/ml.github.io

MohsenFazaeli/mohsenfazaeli.github.io

Mohsen Fazaeli Website (Test)

MohsenFazaeli/SAME

Code for the paper: "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings", D. Buffelli & F. Vandin, presented at the NeurIPS Workshop on Meta-Learning (MetaLearn) 2020.

MohsenFazaeli/SDG

SDG: A Simplified and Dynamic Graph Neural Network, SIGIR' 2021

MohsenFazaeli/SRWA

MohsenFazaeli/V2ray-for-Doprax

The tool can install v2ray on the Doprax, including VMess and VLess protocols, it will automatically switch IP, you need to fork this projects, read readme.md and run it. Create By ifeng.