A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

GrammarViz 2.0 public release:

SAX-VSM public release, visit our website for detail

This is a collection of papers and other resources related to fairness.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

A wrapper of FRAUDAR algorithm

SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

What makes convnets so powerful at image classification?

a Graph-based instance of DBLP

Association Rule Mining from Spatial Data for Crime Analysis

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

A list of recent industrial papers in KDD'16–'18

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper