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awesome-dataset-distillation

Awesome Dataset Distillation Papers

bifeat

Code for BiFeat: Supercharge GNN Training via Graph Feature Quantization

cat-cgl

cv

dslr

gcond

[ICLR'22] [KDD'22] Implementation of "Graph Condensation for Graph Neural Networks"

gcondenser

gee-atmcorr-s2

Atmospheric correction of a (single) Sentinel 2 image

gib

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

glbench

GLBench: A Comprehensive Benchmark for Graphs with Large Language Models

gnn-tail-generalization

keras-tcn

Keras Temporal Convolutional Network.

kidd

Implementations of 'Kernel Ridge Regression-Based Graph Dataset Distillation', SIGKDD'23.

nagphormer

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

oneforall

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

pdgnns

puma

rsgnn

An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))

sfgc

Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"

sgdd

Code for SGDD

ssm

think_python

tindog-website-project

virtual-cycling-web

Frontend developing repository

zihaopython

follow me and learn python easily