Luís Gonçalves's Projects
Linear and non-linear spectral forecasting algorithms
Generalized Canonical Correlation Analysis
Neural Graph Differential Equations (Neural GDEs)
Generating Diverse Extended Summaries of Scientific Articles
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.
Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
Graph-based framework for text classification
A repository of pretty cool datasets that I collected for network science and machine learning research.
Repository for Graph MLP-Mixer
Implementation and experiments of graph embedding algorithms.
Greedy layer pruning for transformer models.
The implementation for heterogeneous feature augmentation (HFA)
Code for the paper "How Attentive are Graph Attention Networks?"
AAAI18 paper 《Improving Review Representations with User Attention and Product Attention for Sentiment Classification》
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Individualized Classifier Ensemble
Deep Neural Network Ensembles for Time Series Classification
Implicit^2: Implicit model for implicit neural representations
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
How Powerful are Spectral Graph Neural Networks
Ajax Autocomplete for jQuery allows you to easily create autocomplete/autosuggest boxes for text input fields
Code for "Jukebox: A Generative Model for Music"
Kadot, the unsupervised natural language processing library.
Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19
Visualizing RNNs using the attention mechanism