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:

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

SAX-VSM public release, visit our website for detail

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?

Association Rule Mining from Spatial Data for Crime Analysis

a Graph-based instance of DBLP

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

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

DevOps pipeline for Real Time Social/Web Mining

[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.

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

[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.

[KDD2025] Modeling Time-evolving Causality over Data Streams. https://dl.acm.org/doi/10.1145/3690624.3709283

SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23

New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++

Density-Based Clustering Validation

[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".

Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.