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Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
16 October 2024
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
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Papers citing
"Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs"
18 / 18 papers shown
Title
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
89
18
0
20 Aug 2024
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
118
13
0
08 Jun 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs
Kai Wang
Yuwei Xu
Zhiyong Wu
Siqiang Luo
LRM
76
10
0
19 Feb 2024
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
115
170
0
14 Aug 2023
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
64
200
0
30 Oct 2020
Inductive Learning on Commonsense Knowledge Graph Completion
Bin Wang
Guangtao Wang
Jing Huang
Jiaxuan You
J. Leskovec
C.-C. Jay Kuo
71
42
0
19 Sep 2020
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi
Danai Koutra
ELM
66
122
0
16 Sep 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami
A. Wolf
Da-Cheng Juan
Frederic Sala
Sujith Ravi
Christopher Ré
58
395
0
01 May 2020
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie-Yan Liu
106
1,133
0
20 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
114
673
0
12 Apr 2020
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAI
AI4CE
86
398
0
16 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
139
848
0
08 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
255
7,547
0
02 Oct 2019
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,831
0
17 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
543
1,412
0
01 Dec 2016
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
107
3,203
0
20 Dec 2014
A Semantic Matching Energy Function for Learning with Multi-relational Data
Xavier Glorot
Antoine Bordes
Jason Weston
Yoshua Bengio
101
694
0
15 Jan 2013
Subgraph Matching Kernels for Attributed Graphs
Nils Kriege
Petra Mutzel
70
279
0
27 Jun 2012
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