MatteoSalvatori / INCE
Interaction Network Contextual Embedding
☆14Updated 6 months ago
Alternatives and similar repositories for INCE:
Users that are interested in INCE are comparing it to the libraries listed below
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆87Updated 8 months ago
- ☆48Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆43Updated 2 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆20Updated 4 years ago
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆17Updated last year
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆11Updated 7 months ago
- Disease subnetwork detection with explainable Graph Neural Networks☆22Updated 8 months ago
- Counterfactual Explanations for Multivariate Time Series Data☆29Updated 10 months ago
- ☆22Updated 4 months ago
- Ensemble learning with graph neural networks for disease module discovery and classification☆11Updated last year
- Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://a…☆22Updated 2 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 3 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆76Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022☆22Updated 2 years ago
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆18Updated last year
- This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.039…☆112Updated 3 years ago
- This is a Pytorch implementation of GraphLIME☆88Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆73Updated 4 months ago
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆28Updated 10 months ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆16Updated last year
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable☆24Updated 7 months ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆32Updated last year
- Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare (IJCAI 2021)☆20Updated 3 years ago