linhthi

alpha-SPE

Codebase of paper "Balancing structure and position information in Graph Transformer network with a learnable node embedding"

DSA_INT2203_26-27_Fall_2023

Solutions for practical problem in UET DSA class 26&27

hannom_anntotation_tool

clustering_gnn

Codebase for graph clustering using GNN

vnnews_crawler

ACM-ICPC-Algorithms

Algorithms used in Competitive Programming

Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

benchmarking-gnns

Repository for benchmarking graph neural networks

benchmarking_dynamicGNNs

Data-Competition

DeepLearningTheory.course

Deep Learning Theory course

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

EasyDGL

Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"

Exphormer

Exphormer: Sparse Transformer for Graphs

Featured-Graph-Coarsening

This repository contains different optimization based algorithms proposed in the paper "A Unified Framework for Optimization-Based Graph Coarsening".

Graph-Mining-Fairness-Data

Open-source datasets for paper "Fairness in Graph Mining: A Survey".

hannom_annotator

http-go-server

int3401

Sample codes for INT3401 course

JacobiConv

How Powerful are Spectral Graph Neural Networks

linhthi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

react-chatbot-ui

Created with CodeSandbox

SGT

Structural Graph Transformer code base

TaxiSimulatorOnGraph

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

TGB

Temporal Graph Benchmark project repo

tgl

treelite

Universal model exchange and serialization format for decision tree forests

Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning

Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"

vnexpress_crawler