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awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

awesome-mcrs

multi-criteria recommender system (MCRS)

cf-kan

KAN (Kolmogorov-Arnold Network)-based Recommendation (CF)

cpa-lgc-recbole

Recbole implementation of our paper "Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation", In KDD 2023

datastructure_and_algorithms-class

CSE class materials and its implementations

emcdr

An Embedding and Mapping framework for Cross-Domain Recommendation.

exgan

explainable-gait-recognition-with-prototyping-encoder-decoder

face_mbti_webapp

grad-align-full

In IEEE TPAMI, AAAI'22

gradalign_plus

In CIKM'22

img_bank

jdpark

linear_gf

(PyTorch implementation) An expremely simple & fast graph filtering for CF

lottery_prediction

LSTM based lottery forecast model

maple_attack

ne_deepwalk

First network embedding via DNN

ne_line

python-competitive-programming-team-notes

Python Library for Programming Competition

qrec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

recommender-systems-paper

Must-read Papers for Recommender Systems (RS)

recommenders

Best Practices on Recommendation Systems

size-limit

Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.

swap-gcn

First approach with permutation with swap training

swaprnn_l

Linear trial with graphRNN+Swap training

turbo-cf

(SIGIR'24) Polynomial GF-based recommendation method

xai_torch_captum