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. 1905.08865
  4. Cited By
Estimating Node Importance in Knowledge Graphs Using Graph Neural
  Networks

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

21 May 2019
Namyong Park
Andrey Kan
Xin Luna Dong
Tong Zhao
Christos Faloutsos
ArXivPDFHTML

Papers citing "Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks"

17 / 17 papers shown
Title
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen
Taotao Wang
Yixiang Fang
Yunyu Xiao
BDL
98
1
0
26 Mar 2025
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
32
10
0
31 May 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable
  Cross-Graphs Node Importance Estimation
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
Zijie Zhong
Yunhui Zhang
Ziyi Chang
Zengchang Qin
GNN
23
0
0
06 Feb 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
33
5
0
05 Dec 2023
Edge Ranking of Graphs in Transportation Networks using a Graph Neural
  Network (GNN)
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)
D. Jana
Sven Malama
S. Narasimhan
E. Taciroğlu
GNN
26
3
0
25 Mar 2023
Supervised Graph Contrastive Learning for Few-shot Node Classification
Supervised Graph Contrastive Learning for Few-shot Node Classification
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
OffRL
28
11
0
29 Mar 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural
  Networks
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
R. Waleffe
J. Mohoney
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
24
25
0
04 Feb 2022
Decoupling the Depth and Scope of Graph Neural Networks
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
R. Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
23
142
0
19 Jan 2022
On Provable Benefits of Depth in Training Graph Convolutional Networks
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong
M. Ramezani
M. Mahdavi
19
73
0
28 Oct 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep
  Neural Networks
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
24
128
0
21 Jul 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph
  Node Classification
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
Jie Chen
Shouzhen Chen
Mingyuan Bai
Jian Pu
Junping Zhang
Junbin Gao
34
21
0
28 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
J-Recs: Principled and Scalable Recommendation Justification
J-Recs: Principled and Scalable Recommendation Justification
Namyong Park
Andrey Kan
Christos Faloutsos
Xin Luna Dong
15
5
0
11 Nov 2020
Extracting Summary Knowledge Graphs from Long Documents
Extracting Summary Knowledge Graphs from Long Documents
Zeqiu Wu
Rik Koncel-Kedziorski
Mari Ostendorf
Hannaneh Hajishirzi
19
15
0
19 Sep 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
Jianling Wang
Jundong Li
Kai Shu
Chenghao Liu
Huan Liu
12
156
0
23 Jun 2020
Learning Global and Local Consistent Representations for Unsupervised
  Image Retrieval via Deep Graph Diffusion Networks
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Zhiyong Dou
Haotian Cui
Lin Zhang
Bo Wang
DiffM
GNN
18
6
0
05 Jan 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
1