graph-augmentation

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"

[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

Open-Source Python Software for Functional MRI Analysis

[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"

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).

Parameter inference of a synthetic graph generator for real-world multilayer networks

Generates graph-based context augmentations for Java code-fixing agents using Joern Code Property Graphs.

pip install gnn-augment — graph-augmented GNNs (GCN, GraphSAGE, GAT, GIN) for semi-supervised node classification: replace the adjacency with Katz / Rooted PageRank / Graph Gravity / LLM text-embedding views, multi-view training, sparse mode for large graphs (arXiv:1905.09087)