ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.12609
  4. Cited By
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
v1v2 (latest)

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

16 October 2024
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
ArXiv (abs)PDFHTML

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
AnyGraph: Graph Foundation Model in the Wild
Lianghao Xia
Chao Huang
OOD
89
18
0
20 Aug 2024
ProG: A Graph Prompt Learning Benchmark
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
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
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
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
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
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi
Danai Koutra
ELM
66
122
0
16 Sep 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
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
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
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
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAIAI4CE
86
398
0
16 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
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
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
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
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,412
0
01 Dec 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
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
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
Subgraph Matching Kernels for Attributed Graphs
Nils Kriege
Petra Mutzel
70
279
0
27 Jun 2012
1