yoony02 Goto Github PK

as-2022-logitaveraging

Code for 2022 Applied Science Special Issue "Logit Averaging: Capturing Global Relation for Session-based Recommendation"

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

co-deep-learning-2020-fall

data-creater-camp-2020

fairadj

Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

fairdrop

fairness-aware-link-prediction

GNN link prediction framework using unified evaluation metrics.

flip

Implementation of "Bursting the Filter Bubble: Fairness-Aware Network Link Prediction" paper.

kcc-2022-fairu

This is the code for KCC 2022 paper "A Study of Metric and Framework Improving Fairness-utility Trade-off in Link Prediction".

ksc-2022-sbmx

This is the code for KSC 2023 paper "Alleviating Popularity Bias in Session-based Recommendation Considering Long-tail Distribution"

mbht-kdd22

[KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation

recbole-gnn

Efficient and extensible GNNs enhanced recommender library based on RecBole.

recsys_papers

This repository contains my summaries of various academic papers I have read.

rl-2022-srrl

This is the code for "Improving diversity and precision in sequential recommendation via RL"

tnt_2021_winter_team_3

yoony02

yoony02.github.io

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