[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
-
Updated
Jun 10, 2024 - Python
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
Predicting multigraph brain population from a single graph
Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
Open-Source Python Software for Functional MRI Analysis
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
[CIKM'23] "Improving Long-Tail Item Recommendation with Graph Augmentation"
This repository provides a reference implementation of gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items (AAAI 2018).
Add a description, image, and links to the graph-augmentation topic page so that developers can more easily learn about it.
To associate your repository with the graph-augmentation topic, visit your repo's landing page and select "manage topics."