kaize0409 Goto Github PK

691

agst

ai

arga

awesome-causality-algorithms

An index of algorithms for learning causality with data

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

awesome-self-supervised-gnn

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

binary-network-embedding

bloomfilteronparquettest

Bloom Filter on Parquet Tests

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

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

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphucb_anomalydetection

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

hypergat_textclassification

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

incubator-parquet-mr

Mirror of Apache Parquet

kaize0409.github.io

maml

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

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)

my_spark_lda_new

my_spark_plsa

opensource-sigkdd

Paper on open source discussion at BigMine2015

parquet-format

Mirror of Apache Parquet

s-3-cl

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