snudatalab

Data Mining Lab. @ Dept. of Computer Science and Engineering, Seoul National University. Led by Prof. U Kang.

Seoul, Republic of Korea

Pinned Repositories

BPN
Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)
Language:Python20 2 06
FALCON
FALCON for compressing CNN
Language:Python7 0 02
FlexGraph
FlexGraph: Flexible Partitioning and Storage for Scalable Graph Mining
Language:Java7 1 03
GraphAug
Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
Language:Python20 2 00
KegNet
Knowledge Extraction with No Observable Data (NeurIPS 2019)
Language:Python44 4 511
PFT
Fast and Accurate Partial Fourier Transform for Time Series Data (KDD 2021)
Language:C++15 1 02
SmartSense
A dataset repository of "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" (CIKM 2022)
13 3 13
SVGA
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
Language:Python18 2 11
TATD
Time-Aware Tensor Decomposition for Sparse Tensors
Language:Python9 1 13
TMI
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
Language:Python8 1 12

snudatalab's Repositories

snudatalab/BPN
Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)
Language:Python20 2 06
snudatalab/GraphAug
Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
Language:Python20 2 00
snudatalab/SVGA
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
Language:Python18 2 11
snudatalab/PFT
Fast and Accurate Partial Fourier Transform for Time Series Data (KDD 2021)
Language:C++15 1 02
snudatalab/SmartSense
A dataset repository of "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" (CIKM 2022)
13 3 13
snudatalab/TATD
Time-Aware Tensor Decomposition for Sparse Tensors
Language:Python9 1 13
snudatalab/TMI
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
Language:Python8 1 12
snudatalab/FALCON
FALCON for compressing CNN
Language:Python7 0 02
snudatalab/DAO-CP
DAO-CP: data-adaptive online CP decomposition
Language:Python6 1 00
snudatalab/MustaD
Compressing Deep Graph Convolution Network with Multi-Staged Knowledge Distillation (PLOS ONE)
Language:Python6 1 03
snudatalab/PopCon
Language:Python6 2 12
snudatalab/SidNet
Language:Python6 1 04
snudatalab/DoReMe
Domain-Aware Data Selection for Speech Classification via Meta-Reweighting (Interspeech'24)
Language:Python4 1 0
snudatalab/TAG
Accurate graph classification via two-staged contrastive curriculum learning (PLOS ONE 2023)
Language:Python3 1 22
snudatalab/BundleMage
Language:Python2 2 00
snudatalab/Dash
Language:MATLAB2 1 0
snudatalab/DEMS
Unsupervised Multi-Source Domain Adaptation with No Observable Source Data (PLOS ONE)
Language:Python2 2 01
snudatalab/Meta-P2
Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition (KDD'24)
Language:Python2
snudatalab/STF
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values (CIKM 2021)
Language:Python2 1 0
snudatalab/Auto-MPFT
Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection (KDD 2024)
Language:C++1
snudatalab/CoHeat
Language:Python1 1 02
snudatalab/INFO
This is a repository of "Fast and accurate interpretation of workload classification", submitted on PLOS ONE 2023.
Language:Python1 1 0
snudatalab/SensiMix
Language:Python1 1 0
snudatalab/Acorn
Language:Python1 0
snudatalab/DivMF
Language:Python1 0
snudatalab/moderncv
A modern curriculum vitae class for LaTeX
Language:TeX0 0
snudatalab/Negotiation_Learning
Language:Python1 01
snudatalab/Repeat
Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors (CIKM 2024)
Language:MATLAB
snudatalab/TAN
Language:Python1 01
snudatalab/VeST
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors
Language:Jupyter Notebook0 0