LARS-research / TabGNN
☆48Updated 3 years ago
Alternatives and similar repositories for TabGNN:
Users that are interested in TabGNN are comparing it to the libraries listed below
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆89Updated 9 months ago
- ☆169Updated 8 months ago
- ☆43Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆33Updated 2 years ago
- ☆25Updated 9 months ago
- Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)☆30Updated 7 months ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆81Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 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
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- This is a Pytorch implementation of GraphLIME☆89Updated 3 years ago
- ☆33Updated 2 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆45Updated 8 months ago
- ☆55Updated 2 years ago
- ☆59Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆41Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆78Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- ☆50Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- ☆47Updated 3 months ago
- A simple implementation of the paper "Disease Prediction via Graph Neural Networks".☆20Updated 4 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆43Updated 10 months ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆83Updated 3 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated last year
- ☆25Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago