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Towards Foundation Models for Knowledge Graph Reasoning

Towards Foundation Models for Knowledge Graph Reasoning

6 October 2023
Mikhail Galkin
Xinyu Yuan
Hesham Mostafa
Jian Tang
Zhaocheng Zhu
    VLM
    ReLM
ArXivPDFHTML

Papers citing "Towards Foundation Models for Knowledge Graph Reasoning"

29 / 29 papers shown
Title
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
Yucheng Zhang
Beatrice Bevilacqua
Mikhail Galkin
Bruno Ribeiro
61
1
0
26 Feb 2025
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset
  Transfer of Pretrained GNNs
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
Fabrizio Frasca
Fabian Jogl
Moshe Eliasof
Matan Ostrovsky
Carola-Bibiane Schönlieb
Thomas Gärtner
Haggai Maron
AI4CE
26
2
0
23 Dec 2024
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Zehong Wang
Zheyuan Zhang
Tianyi Ma
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
AI4CE
71
0
0
21 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
71
0
0
10 Dec 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree Vocabulary
Zehong Wang
Zheyuan Zhang
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
39
9
0
09 Nov 2024
AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
Karan Bania
Tanmay Verlekar
19
1
0
30 Oct 2024
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context
  Reasoning
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
Yuanning Cui
Zequn Sun
Wei Hu
ReLM
LRM
16
0
0
16 Oct 2024
Is Complex Query Answering Really Complex?
Is Complex Query Answering Really Complex?
Cosimo Gregucci
Bo Xiong
Daniel Hernández
Lorenzo Loconte
Pasquale Minervini
Steffen Staab
Antonio Vergari
ELM
43
2
0
16 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
30
1
0
16 Oct 2024
Inference over Unseen Entities, Relations and Literals on Knowledge
  Graphs
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
Caglar Demir
N'Dah Jean Kouagou
Arnab Sharma
Axel-Cyrille Ngonga Ngomo
21
0
0
09 Oct 2024
One Model, Any Conjunctive Query: Graph Neural Networks for Answering
  Complex Queries over Knowledge Graphs
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs
Krzysztof Olejniczak
Xingyue Huang
.Ismail .Ilkan Ceylan
Mikhail Galkin
GNN
49
0
0
21 Sep 2024
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Qian Ma
Haitao Mao
Jingzhe Liu
Zhehua Zhang
Chunlin Feng
Yu Song
Yihan Shao
Yao Ma
35
3
0
20 Aug 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
6
0
12 Jul 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
25
10
0
15 Jun 2024
Towards Better Benchmark Datasets for Inductive Knowledge Graph
  Completion
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
Harry Shomer
Jay Revolinsky
Jiliang Tang
21
0
0
14 Jun 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
45
8
0
29 May 2024
Graph Machine Learning in the Era of Large Language Models (LLMs)
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
Dawei Yin
Qing Li
AI4CE
24
23
0
23 Apr 2024
On the Scalability of GNNs for Molecular Graphs
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski
Frederik Wenkel
Farimah Poursafaei
Nia Dickson
Karush Suri
Philip Fradkin
Dominique Beaini
GNN
AI4CE
34
11
0
17 Apr 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
21
8
0
12 Mar 2024
Unveiling Hidden Links Between Unseen Security Entities
Unveiling Hidden Links Between Unseen Security Entities
Daniel Alfasi
T. Shapira
Anat Bremler Barr
25
2
0
04 Mar 2024
Link Prediction with Relational Hypergraphs
Link Prediction with Relational Hypergraphs
Xingyue Huang
Miguel Romero
Pablo Barceló
Michael M. Bronstein
.Ismail .Ilkan Ceylan
35
2
0
06 Feb 2024
A Benchmark to Understand the Role of Knowledge Graphs on Large Language
  Model's Accuracy for Question Answering on Enterprise SQL Databases
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
Juan Sequeda
D. Allemang
Bryon Jacob
8
26
0
13 Nov 2023
Large Language Models can Learn Rules
Large Language Models can Learn Rules
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
LRM
ReLM
20
62
0
10 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and
  Attention
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
Jiaqi Zhang
Joel Jennings
Agrin Hilmkil
Nick Pawlowski
Cheng Zhang
Chao Ma
CML
41
13
0
01 Oct 2023
Graph Neural Networks for Link Prediction with Subgraph Sketching
Graph Neural Networks for Link Prediction with Subgraph Sketching
B. Chamberlain
S. Shirobokov
Emanuele Rossi
Fabrizio Frasca
Thomas Markovich
Nils Y. Hammerla
Michael M. Bronstein
Max Hansmire
44
76
0
30 Sep 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
Relation Prediction as an Auxiliary Training Objective for Improving
  Multi-Relational Graph Representations
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
83
43
0
06 Oct 2021
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
Jia Guo
Stanley Kok
57
29
0
29 Sep 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
139
123
0
17 Oct 2020
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