mylonasc / tf_gnnsView external linksLinks
A hackable implementation of GraphNets.
☆13Apr 20, 2025Updated 9 months ago
Alternatives and similar repositories for tf_gnns
Users that are interested in tf_gnns are comparing it to the libraries listed below
Sorting:
- Code for "Conditional Variational Autoencoders for Probabilistic Wind Turbine Blade Fatigue Estimation using SCADA data"☆18Feb 25, 2021Updated 4 years ago
- ☆14Oct 3, 2021Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46May 30, 2022Updated 3 years ago
- CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds☆29Jun 19, 2024Updated last year
- It aims to implement a real-time system to monitor the tool condition and predict the Remaining Useful Life (RUL) Computer Numerical Cont…☆18May 24, 2020Updated 5 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Apr 26, 2022Updated 3 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆78Sep 4, 2018Updated 7 years ago
- ☆13Jun 18, 2025Updated 7 months ago
- rmarkdown-xaringan-slides☆11Jun 2, 2023Updated 2 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆85Apr 2, 2023Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- Code for the paper: "T-shape data and probabilistic remaining useful life prediction for Li-ion batteries using multiple non-crossing qua…☆10Aug 4, 2023Updated 2 years ago
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Mar 15, 2023Updated 2 years ago
- "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025☆14Nov 25, 2025Updated 2 months ago
- AC Optimal Power Flow (OPF) attempts to determine the setpoints of generators that would minimize the operating cost of a power system wh…☆14Jul 30, 2024Updated last year
- ☆11Jul 20, 2021Updated 4 years ago
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- ☆11Jan 7, 2025Updated last year
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Dec 8, 2022Updated 3 years ago
- Graphical intuition to MOSFET square-law☆11Jan 5, 2021Updated 5 years ago
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Feb 15, 2022Updated 4 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 2 years ago
- Official repository for Fourier model that can generate periodic signals☆10Mar 10, 2022Updated 3 years ago
- ☆11Sep 30, 2022Updated 3 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- Software tool for metabolic modelling in Systems Biology☆10Dec 30, 2020Updated 5 years ago
- Interpreting CLIP with Hierarchical Sparse Autoencoders (ICML 2025)☆19Jan 17, 2026Updated 3 weeks ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Nov 4, 2022Updated 3 years ago
- MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)☆14Dec 21, 2024Updated last year
- In this project, Basic Machine Learning concepts were built on Desharnais dataset to built a software effort estimation model using a lin…☆10Nov 5, 2018Updated 7 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 4 years ago
- Forecasting cryptocurrency price movements with graph neural networks.☆10Mar 13, 2020Updated 5 years ago
- ☆11Oct 26, 2021Updated 4 years ago
- [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning☆11Jun 1, 2024Updated last year
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- Material for the course of "Mathematics of Transformer"☆19Aug 3, 2025Updated 6 months ago
- [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yue…☆17Mar 21, 2025Updated 10 months ago