Popular GitHub Repositories for Kdd99

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

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.

可商业化的 AI Web 平台，提供一站式人工智能服务解决方案。支持私有化部署，内置多用户管理，适合企业、团队或个人快速构建 AI 服务。

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

? A portable, header-only, artificial neural network library written in C99

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

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

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.

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

[KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

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

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

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Cross-modal Reinforced Prompting for Graph and Language Tasks, KDD 2024.

Anomaly IDS using a one-class autoencoder.

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats