Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

21 May 2019

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

22 / 22 papers shown

Title
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization Yankai Chen Taotao Wang Yixiang Fang Yunyu Xiao BDL 109 1 0 26 Mar 2025
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 37 10 0 31 May 2024
Profile of Vulnerability Remediations in Dependencies Using Graph Analysis Fernando Vera Palina Pauliuchenka Ethan Oh Bai Chien Kao Louis DiValentin David A. Bader 27 0 0 08 Mar 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation Zijie Zhong Yunhui Zhang Ziyi Chang Zengchang Qin GNN 28 0 0 06 Feb 2024
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 43 5 0 05 Dec 2023
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN) D. Jana Sven Malama S. Narasimhan E. Taciroğlu GNN 31 3 0 25 Mar 2023
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation O. Sýkora P. Phothilimthana Charith Mendis Amir Yazdanbakhsh GNN 45 21 0 08 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network Weijia Chen Yixin Cao Fuli Feng Xiangnan He Yongdong Zhang 13 2 0 14 Jul 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 32 11 0 29 Mar 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 29 25 0 04 Feb 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 144 0 19 Jan 2022
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 27 73 0 28 Oct 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 30 128 0 21 Jul 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
J-Recs: Principled and Scalable Recommendation Justification Namyong Park Andrey Kan Christos Faloutsos Xin Luna Dong 20 5 0 11 Nov 2020
Extracting Summary Knowledge Graphs from Long Documents Zeqiu Wu Rik Koncel-Kedziorski Mari Ostendorf Hannaneh Hajishirzi 35 15 0 19 Sep 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 25 156 0 23 Jun 2020
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 Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018