graph-augmentation
There are 10 repositories under graph-augmentation topic.
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
LirongWu/KDGA
Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
Echo-Ji/ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
HKUDS/GraphAug
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
basiralab/MultigraphGNet
Predicting multigraph brain population from a single graph
LirongWu/L2A
Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
mxliu/ACTION-Software-for-Functional-MRI-Analysis
Open-Source Python Software for Functional MRI Analysis
basiralab/MV-LEAP
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
sichunluo/GALORE
[CIKM'23] "Improving Long-Tail Item Recommendation with Graph Augmentation"
yeonchang/gOCCF
This repository provides a reference implementation of gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items (AAAI 2018).