Pretraining, fine-tuning, inference and test-time scaling of relational transformer (RT) models, including RT-J and RT-PluRel
-
Updated
Oct 28, 2026 - Python
#
relational-deep-learning
Here are 12 public repositories matching this topic...
Relational Graph Transformer
-
Updated
Jul 10, 2025 - Python
A package for benchmarking synthetic relational data generation methods
benchmark machine-learning deep-learning tabular-data pytorch synthetic-data graph-neural-networks relational-data pytorch-geometric relational-deep-learning
-
Updated
Jun 9, 2026 - Python
RTGL is a Python framework for task generation in Relational Deep Learning. It provides a Relational Task Generation Language to simplify task generation when working with complex static/temporal relational data.
machine-learning sql deep-learning relational-learning temporal-data relational-deep-learning task-generation predictive-query-language relational-task-generation-language
-
Updated
Sep 4, 2026 - Python
Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI
machine-learning deep-learning neural-networks bayesian latent-variable-models link-prediction bayesian-deep-learning bdl relational-deep-learning
-
Updated
Jun 16, 2018 - MATLAB
Benchmarking relational deep learning for personalized item recommendation with Elliot.
-
Updated
Mar 24, 2025 - Python
rtgl-tasks: Examples and workflows for task generation using RTGL.
machine-learning sql deep-learning relational-learning temporal-data relational-deep-learning task-generation predictive-query-language relational-task-generation-language
-
Updated
Sep 20, 2026 - Jupyter Notebook
GRAB: Bridging relational graphs and frozen LLMs through query-conditioned latent tokens for efficient multi-table question answering.
relational-reasoning graph-neural-networks graph-representation-learning table-understanding relational-deep-learning prompt-tuning large-language-models table-question-answering soft-tokens multi-table-question-answering
-
Updated
Nov 6, 2026 - Python
A relational, explainable recommendation engine, built on Relational Deep Learning (the approach Kumo.ai and NVIDIA build on: predicting directly over a multi-table relational database, treated as a graph, instead of hand-built features).
data-science machine-learning recommender-system graph-neural-networks pytorch-geometric relational-deep-learning relbench
-
Updated
Nov 7, 2026 - Jupyter Notebook
Feature engineering vs relational deep learning vs tabular foundation models on RelBench rel-f1
-
Updated
Nov 9, 2026 - Python
Transforming relational data into graph structures to improve GNN performance using PyTorch Geometric.
-
Updated
Apr 18, 2026 - Python
Do GNNs on a relational database beat a flat model? A controlled ablation on RelBench rel-hm sales forecasting (Telecom Paris team project)
-
Updated
Oct 17, 2026 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the relational-deep-learning topic, visit your repo's landing page and select "manage topics."