Luís Gonçalves's repositories
Anomal-E
A PyTorch implementation of of Anomal-E.
Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
awesome-time-series
Resources for working with time series and sequence data
black-hat-rust
Applied offensive security with Rust - https://kerkour.com/black-hat-rust
cabrita-LLaMA
Finetuning InstructLLaMA with portuguese data
Data-Processing-Lateral-Movement-Detection
Collecting, preparing and merhing the Los Alamos National's Laboratory unified host data set and and redteam compromise events dataset to be used in a deep learning algorithm for lateral movement detection.
DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
EGAE
Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
Graph-Datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
Graph-MLPMixer
Repository for Graph MLP-Mixer
Newton-Cotes-Graph-Neural-Networks
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
paris
Hierarchical graph clustering
Rethinking-Anomaly-Detection
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
rust-code-book
Source code for the book Rust in Action
Simplifying-Clustering-with-Graph-Neural-Networks
Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.
Temporal-Graph-Based-Inductive-Learning-to-Infer-Lateral-Movement-in-Evolving-Enterprise-Networks
[IEEE SP'24] The Official Implementation of "Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks"
Tokenized-Graph-Transformer
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch