kaize0409

awesome-few-shot-gnn

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

GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

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)

awesome-graph-data-augmentaion

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

Meta-GDN_AnomalyDetection

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

Awesome-Graph-OOD

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)

GraphUCB_AnomalyDetection

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

AGST

awesome-self-supervised-gnn

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

DND-NET

ARGA

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

ST-GNN

691

AI

awesome-causality-algorithms

An index of algorithms for learning causality with data

Binary-Network-Embedding

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.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

Documents

kaize0409.github.io

maml

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

parquet-format

Mirror of Apache Parquet

SDCN

Spark-dist

use_vim_as_ide

use vim as IDE