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Efficient and Privacy-Preserved Link Prediction via Condensed Graphs

Efficient and Privacy-Preserved Link Prediction via Condensed Graphs

15 March 2025
Yunbo Long
Liming Xu
Alexandra Brintrup
ArXiv (abs)PDFHTML

Papers citing "Efficient and Privacy-Preserved Link Prediction via Condensed Graphs"

14 / 14 papers shown
Title
Random Walk Guided Hyperbolic Graph Distillation
Yunbo Long
Liming Xu
Siyang Song
Alexandra Brintrup
57
1
0
28 Jan 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
276
21
0
28 Jan 2025
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
114
26
0
07 Feb 2024
The maximum capability of a topological feature in link prediction
The maximum capability of a topological feature in link prediction
Yijun Ran
Xiao-ke Xu
Tao Jia
22
17
0
30 Jun 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
94
111
0
15 Jun 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
Federated Graph Neural Networks: Overview, Techniques and Challenges
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
97
85
0
15 Feb 2022
LinkTeller: Recovering Private Edges from Graph Neural Networks via
  Influence Analysis
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Fan Wu
Yunhui Long
Ce Zhang
Yue Liu
AAML
84
99
0
14 Aug 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via
  Historical Embeddings
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey
J. E. Lenssen
F. Weichert
J. Leskovec
GNN
50
134
0
10 Jun 2021
A Review of Anonymization for Healthcare Data
A Review of Anonymization for Healthcare Data
Iyiola E. Olatunji
Jens Rauch
Matthias Katzensteiner
Megha Khosla
43
66
0
13 Apr 2021
Quantifying Privacy Leakage in Graph Embedding
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu
A. Boutet
Virat Shejwalkar
MIACV
89
126
0
02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
115
230
0
30 Sep 2020
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
171
1,366
0
14 Nov 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,331
0
07 Jun 2017
1