kaize0409/awesome-graph-data-augmentaion

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kaize0409/awesome-graph-data-augmentaion

kaize0409

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A curated list of publications and code about data augmentaion for graphs.

GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

awesome-few-shot-gnn

An index of algorithms for few-shot learning/meta-learning on graphs

HyperGAT_TextClassification

Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

GCN_AnomalyDetection_pytorch

PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)

Meta-GDN_AnomalyDetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

GPN_Graph-Few-shot

Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Meta-PN

PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)

S-3-CL

PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)

Awesome-Graph-OOD-Adaptation

GraphUCB_AnomalyDetection

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

my_spark_plsa

ARGA

ST-GNN

AGST

my_spark_lda_new