kaize0409

awesome-few-shot-gnn

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

awesome-graph-data-augmentaion

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

Awesome-Graph-OOD-Adaptation

GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

GCN_AnomalyDetection_pytorch

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

GPN_Graph-Few-shot

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

HyperGAT_TextClassification

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

Meta-GDN_AnomalyDetection

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

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)

kaize0409/GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

kaize0409/awesome-few-shot-gnn

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

kaize0409/HyperGAT_TextClassification

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

kaize0409/GCN_AnomalyDetection_pytorch

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

kaize0409/awesome-graph-data-augmentaion

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

kaize0409/Meta-GDN_AnomalyDetection

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

kaize0409/GPN_Graph-Few-shot

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

kaize0409/Meta-PN

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

kaize0409/S-3-CL

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

kaize0409/Awesome-Graph-OOD-Adaptation

kaize0409/GraphUCB_AnomalyDetection

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

kaize0409/awesome-self-supervised-gnn

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

kaize0409/AGST

kaize0409/ARGA

kaize0409/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

kaize0409/ST-GNN

kaize0409/691

kaize0409/AI

kaize0409/awesome-causality-algorithms

An index of algorithms for learning causality with data

kaize0409/Binary-Network-Embedding

kaize0409/BloomFilterOnParquetTest

Bloom Filter on Parquet Tests

kaize0409/CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

kaize0409/deeplearningbook-chinese

Deep Learning Book Chinese Translation

kaize0409/Documents

kaize0409/kaize0409.github.io

kaize0409/maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

kaize0409/parquet-format

Mirror of Apache Parquet

kaize0409/SDCN

kaize0409/Spark-dist

kaize0409/use_vim_as_ide

use vim as IDE