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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

30 October 2020
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
ArXivPDFHTML

Papers citing "Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning"

24 / 24 papers shown
Title
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
24
0
0
13 May 2025
Understanding the Design Principles of Link Prediction in Directed Settings
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai
Muberra Ozmen
Thomas Markovich
AI4CE
33
0
0
24 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen
Zhiming Li
Hua Mao
Wai Lok Woo
Xi Peng
71
0
0
20 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
47
0
0
17 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
56
4
0
31 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
76
0
0
10 Dec 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
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
26
0
0
13 Sep 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
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
26
1
0
12 Jun 2024
Solving the Tree Containment Problem Using Graph Neural Networks
Solving the Tree Containment Problem Using Graph Neural Networks
A. Dushatskiy
Esther Julien
Leen Stougie
L. Iersel
17
0
0
15 Apr 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
21
4
0
12 Feb 2024
Learning Scalable Structural Representations for Link Prediction with
  Bloom Signatures
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang
Haoteng Yin
Rongzhe Wei
Pan Li
Anshumali Shrivastava
AI4CE
23
1
0
28 Dec 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
54
13
0
25 Sep 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding
  the Impact of Target-link Inclusion & Better Practices
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
Jing Zhu
Yuhang Zhou
V. Ioannidis
Sheng Qian
Wei Ai
Xiang Song
Danai Koutra
21
9
0
01 Jun 2023
Link Prediction for Flow-Driven Spatial Networks
Link Prediction for Flow-Driven Spatial Networks
Bastian Wittmann
Johannes C. Paetzold
Chinmay Prabhakar
Daniel Rueckert
Bjoern H. Menze
GNN
19
7
0
25 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph
  Representation Learning
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
61
8
0
06 Mar 2023
Graph Positional Encoding via Random Feature Propagation
Graph Positional Encoding via Random Feature Propagation
Moshe Eliasof
Fabrizio Frasca
Beatrice Bevilacqua
Eran Treister
Gal Chechik
Haggai Maron
17
16
0
06 Mar 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge
  Graphs
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Xingyue Huang
Miguel Romero
.Ismail .Ilkan Ceylan
Pablo Barceló
19
23
0
04 Feb 2023
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
76
46
0
22 Oct 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
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop
  Subgraph
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
Hongzhu Li
Xiang Gao
Linhui Feng
Yafeng Deng
Yuhui Yin
11
2
0
27 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
A. Luu
Guy Wolf
Dominique Beaini
43
507
0
25 May 2022
Federated Data Science to Break Down Silos [Vision]
Federated Data Science to Break Down Silos [Vision]
Essam Mansour
Kavitha Srinivas
K. Hose
FedML
AI4CE
17
8
0
25 Nov 2021
1