MatteoSalvatori / INCE
Interaction Network Contextual Embedding
☆11Updated 2 months ago
Related projects: ⓘ
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆67Updated 4 months ago
- ☆45Updated 3 years ago
- Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare (IJCAI 2021)☆19Updated 3 years ago
- A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.☆18Updated 3 years ago
- Disease subnetwork detection with explainable Graph Neural Networks☆21Updated 4 months ago
- The Hypergraph Analysis Toolbox (HAT) contains a series of methods for investigating multi-way interactions and nucleus architecture.☆19Updated 2 months ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆15Updated last year
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆19Updated 3 years ago
- Stable Differentiable Causal Discovery (SDCD)☆13Updated 3 months ago
- The DAPSNet Code☆11Updated 5 months ago
- A simple implementation of the paper "Disease Prediction via Graph Neural Networks".☆18Updated 3 years ago
- Self-supervised graph learning with hyperbolic embedding for temporal health event prediction (IEEE Cybernetics)☆13Updated 3 years ago
- The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"☆13Updated 2 years ago
- ☆12Updated 2 weeks ago
- Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable☆17Updated 3 months ago
- ☆10Updated 4 years ago
- ☆15Updated 8 months ago
- Code of MICRON, MIMIC data processing, Residual Learning☆12Updated 2 years ago
- code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>☆23Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆24Updated 2 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated last year
- Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning☆39Updated 7 months ago
- ☆27Updated last year
- Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…☆93Updated 2 years ago
- ☆24Updated 4 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆64Updated last year
- ☆17Updated 3 years ago
- KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …☆11Updated last year
- ☆35Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year