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Relational Deep Learning: Graph Representation Learning on Relational
  Databases

Relational Deep Learning: Graph Representation Learning on Relational Databases

7 December 2023
Matthias Fey
Weihua Hu
Kexin Huang
J. E. Lenssen
Rishabh Ranjan
Joshua Robinson
Rex Ying
Jiaxuan You
J. Leskovec
    GNN
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Papers citing "Relational Deep Learning: Graph Representation Learning on Relational Databases"

25 / 25 papers shown
Title
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Yanbo Wang
Xiyuan Wang
Quan Gan
Minjie Wang
Qibin Yang
David Wipf
Muhan Zhang
112
0
0
08 May 2025
GTR: Graph-Table-RAG for Cross-Table Question Answering
GTR: Graph-Table-RAG for Cross-Table Question Answering
Jiaru Zou
Dongqi Fu
Sirui Chen
Xinrui He
Zihao Li
Yada Zhu
Jiawei Han
Jingrui He
LMTD
50
0
0
02 Apr 2025
RelGNN: Composite Message Passing for Relational Deep Learning
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen
Charilaos I. Kanatsoulis
Jure Leskovec
GNN
AI4CE
54
2
0
10 Feb 2025
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Keli Zhang
Chao Huang
LM&Ro
93
1
0
22 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
62
5
0
29 Nov 2024
Tackling prediction tasks in relational databases with LLMs
Marek Wydmuch
Łukasz Borchmann
Filip Graliñski
74
2
0
18 Nov 2024
Graph Neural Networks on Graph Databases
Dmytro Lopushanskyy
Borun Shi
GNN
76
0
0
18 Nov 2024
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Valter Hudovernik
Martin Jurkovič
Erik Štrumbelj
46
2
0
04 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng
Yanzhen Shen
Jiaxuan You
88
10
0
04 Oct 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
26
1
0
22 Sep 2024
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
42
11
0
20 Aug 2024
rLLM: Relational Table Learning with LLMs
rLLM: Relational Table Learning with LLMs
Weichen Li
Xiaotong Huang
Jianwu Zheng
Zheng Wang
Chaokun Wang
Li Pan
Jianhua Li
LMTD
37
2
0
29 Jul 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
RelBench: A Benchmark for Deep Learning on Relational Databases
Joshua Robinson
Rishabh Ranjan
Weihua Hu
Kexin Huang
Jiaqi Han
...
J. E. Lenssen
Yiwen Yuan
Zecheng Zhang
Xinwei He
J. Leskovec
43
11
0
29 Jul 2024
Database-Augmented Query Representation for Information Retrieval
Database-Augmented Query Representation for Information Retrieval
Soyeong Jeong
Jinheon Baek
Sukmin Cho
Sung Ju Hwang
Jong C. Park
42
2
0
23 Jun 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph
  Recovery Perspective
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen
Cong Fang
Zhouchen Lin
Bing Liu
36
0
0
17 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with
  Mixed-Variable Context Encoding
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
MoE
AI4CE
36
2
0
02 Jun 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng-Wei Zhang
46
3
0
28 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
Weihua Hu
Yiwen Yuan
Zecheng Zhang
Akihiro Nitta
Kaidi Cao
Vid Kocijan
J. Leskovec
Matthias Fey
LMTD
39
11
0
31 Mar 2024
Towards Graph Foundation Models for Personalization
Towards Graph Foundation Models for Personalization
Andreas Damianou
Francesco Fabbri
Paul Gigioli
Marco De Nadai
Alice Wang
Enrico Palumbo
M. Lalmas
AI4CE
37
8
0
12 Mar 2024
CARTE: Pretraining and Transfer for Tabular Learning
CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim
Léo Grinsztajn
Gaël Varoquaux
LMTD
62
13
0
26 Feb 2024
LiGNN: Graph Neural Networks at LinkedIn
LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk
Shihai He
Yunbo Ouyang
Morteza Ramezani
Peng Du
...
David Stein
Baolei Li
Haichao Wei
Amol Ghoting
Souvik Ghosh
GNN
32
11
0
17 Feb 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
33
7
0
04 Jan 2024
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar Karnin
ViT
LMTD
157
420
0
11 Dec 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,170
0
03 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,217
0
01 Sep 2014
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