[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection

Demos using TurboML!

Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**

Mamba SSM architecture

書籍『深層ニューラルネットワークの高速化』のサポートサイトです。

A foundation model for knowledge graph reasoning

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams (ICDE'21)

Beyond Outlier Detection: LookOut for Pictorial Explanation

Code for paper "gen2Out: Detection and Ranking Generalized Anomalies" (Big Data 2021)

Automatically profile dataframes in the Jupyter sidebar

A Python wrapper around Metis, a graph partitioning package

Representation learning on large graphs using stochastic graph convolutions.

Anomaly Detection and Visualization of Large-Scale Call Graphs

Personal use

Timevis backend with uPlot frontend

Datasets for Predictive Maintenance

A hyperparameter optimization framework

DenseAlert: Incremental Dense-SubTensor Detection in Tensor Streams (KDD'17)

A Python Library for Graph Outlier Detection (Anomaly Detection)

Python code for StremaingLDA with Copula

TTI ,Smart Transportation Industry Standard

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs a…

Python implementation of 2004 paper