Graph Neural Networks for Tabular Data Learning (GNN4TDL)
☆110Jul 9, 2025Updated 8 months ago
Alternatives and similar repositories for awesome-GNN4TDL
Users that are interested in awesome-GNN4TDL are comparing it to the libraries listed below
Sorting:
- Interaction Network Contextual Embedding☆20Jul 4, 2024Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆210Oct 26, 2025Updated 4 months ago
- ☆33Sep 7, 2024Updated last year
- Simplicial neural network benchmarking software☆17Jun 9, 2022Updated 3 years ago
- ☆188Mar 25, 2024Updated last year
- Protein scoring and sampling of 'Combinatorial Variant Effects from Structure' (CoVES)☆11Jan 5, 2024Updated 2 years ago
- ☆11Apr 8, 2022Updated 3 years ago
- Feature Selection using Simulated Annealing☆11Aug 10, 2022Updated 3 years ago
- A python tool for numerically encoding protein sequences based on PSSM profile☆13Jun 25, 2021Updated 4 years ago
- ☆14Nov 26, 2022Updated 3 years ago
- A benchmark of meaningful graph datasets with tabular node features☆14Oct 29, 2025Updated 4 months ago
- The source code of the experimental evaluation of Deprez et al. (nd)☆12Oct 8, 2025Updated 5 months ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆29Aug 10, 2022Updated 3 years ago
- ☆28Sep 23, 2025Updated 5 months ago
- A collection of AWESOME language modeling techniques on tabular data applications.☆32Oct 14, 2024Updated last year
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Mar 18, 2024Updated last year
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Nov 30, 2021Updated 4 years ago
- Fast Topological Clustering with Wasserstein Distance (ICLR 2022)☆12Jun 24, 2022Updated 3 years ago
- Research on Tabular Foundation Models☆71Dec 13, 2024Updated last year
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆15May 31, 2023Updated 2 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆15Sep 24, 2023Updated 2 years ago
- ☆21Mar 24, 2025Updated 11 months ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- ☆21Nov 14, 2022Updated 3 years ago
- ☆17Dec 15, 2024Updated last year
- Library of python functions for the analysis of hypergraphs.☆15Feb 1, 2025Updated last year
- Easy-to-use framework for graph continual learning with Python☆36Oct 10, 2024Updated last year
- Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data☆422Dec 22, 2024Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- This is the official implementation of the paper “Griffin: Towards a Graph-Centric Relational Database Foundation Model.”☆34Sep 25, 2025Updated 5 months ago
- An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment☆16Dec 5, 2024Updated last year
- The link of DGNN's model and some datasets☆25Apr 2, 2025Updated 11 months ago
- Course of Machine Learning for Biomedical Data -TECNUN University of Navarra☆12Feb 20, 2026Updated 2 weeks ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆44Jan 18, 2025Updated last year
- This repository contains the official implementation of "A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data" (under revie…☆17Jul 10, 2024Updated last year
- ☆45Aug 2, 2024Updated last year
- DeepViscosity is a deep learning ANN model developed to predict high concentrated monoclonal antibody viscosity classes (Low <= 20cps, Hi…☆22Feb 23, 2026Updated 2 weeks ago
- add codes☆20Aug 22, 2021Updated 4 years ago
- RelBench: Relational Deep Learning Benchmark☆348Mar 3, 2026Updated last week