Hierarchical structure and the prediction of missing links in networks

4 November 2008

Papers citing "Hierarchical structure and the prediction of missing links in networks"

50 / 156 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Miao Hu Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 71 0 0 02 May 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 75 0 0 24 Feb 2025
PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics Quan Yuan Zhikun Zhang L. Du Min Chen Mingyang Sun Yunjun Gao Michael Backes Shibo He Jiming Chen 181 0 0 16 Dec 2024
Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network Gonzalo Bohorquez John Cartlidge AIFin 13 0 0 01 Sep 2024
Network and interaction models for data with hierarchical granularity via fragmentation and coagulation Lancelot F. James Juho Lee Nathan Ross 42 0 0 09 Aug 2024
Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations Mohammadmahdi Toobaee Andrea Schiffauerova Ashkan Ebadi 34 0 0 10 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 88 1 0 03 Jun 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 75 9 0 10 Mar 2024
A new edge betweenness measure using a game theoretical approach: an application to hierarchical community detection Daniel Gómez Javier Castro Inmaculada Gutiérrez R. Espínola 23 4 0 09 Feb 2024
Is stochastic thermodynamics the key to understanding the energy costs of computation? David Wolpert Jan Korbel Christopher Lynn Farita Tasnim Joshua A. Grochow ... P. Riechers Édgar Roldán Brenda Rubenstein Zoltán Toroczkai Joseph Paradiso AI4CE 57 22 0 28 Nov 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 96 3 0 03 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 71 6 0 02 Oct 2023
T-Stochastic Graphs Sijia Fang K. Rohe 54 1 0 04 Sep 2023
A Text-based Approach For Link Prediction on Wikipedia Articles Anh Hoang Tran Tam Minh Nguyen Son T. Luu 18 0 0 01 Sep 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu Basel Alomair 116 33 0 05 Jul 2023
Conformal link prediction for false discovery rate control Ariane Marandon 190 9 0 26 Jun 2023
On the Generalization of Multi-modal Contrastive Learning Qi Zhang Yifei Wang Yisen Wang 79 26 0 07 Jun 2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information Quan Yuan Zhikun Zhang L. Du Min Chen Peng Cheng Mingyang Sun 82 19 0 05 Apr 2023
Causal Lifting and Link Prediction Leonardo Cotta Beatrice Bevilacqua Nesreen Ahmed Bruno Ribeiro CML 107 5 0 02 Feb 2023
Generative Graph Neural Networks for Link Prediction Xingping Xian Tao Wu Xiaoke Ma Shaojie Qiao Yabin Shao Chao Wang Lin Yuan Yuehua Wu AI4CE 92 4 0 31 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 131 5 0 17 Dec 2022
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures Yu Wang Jin-Zhu Yu H. Baroud 41 1 0 28 Nov 2022
Rethinking the positive role of cluster structure in complex networks for link prediction tasks Shan-Shan Zhang Wenjiao Zhang Zhan Bu 61 0 0 04 Nov 2022
A Complex Network based Graph Embedding Method for Link Prediction Said Kerrache Hafida Benhidour 20 1 0 11 Sep 2022
Consistency between ordering and clustering methods for graphs T. Kawamoto Masaki Ochi Teruyoshi Kobayashi 63 3 0 27 Aug 2022
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling HanQin Cai Longxiu Huang Pengyu Li Deanna Needell 96 16 0 20 Aug 2022
20 years of network community detection S. Fortunato Mark E. J. Newman GNN 69 141 0 30 Jul 2022
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity Hafida Benhidour Lama Almeshkhas Said Kerrache 25 2 0 15 Jul 2022
The maximum capability of a topological feature in link prediction Yijun Ran Xiao-ke Xu Tao Jia 33 17 0 30 Jun 2022
Geometry Contrastive Learning on Heterogeneous Graphs Shichao Zhu Chuan Zhou Anfeng Cheng Shirui Pan Shuaiqiang Wang Dawei Yin Bin Wang SSL 60 1 0 25 Jun 2022
Finding MNEMON: Reviving Memories of Node Embeddings Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 61 14 0 14 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 76 7 0 12 Apr 2022
Machine-Learning Based Objective Function Selection for Community Detection Asa Bornstein Amir Rubin Danny Hendler 16 0 0 25 Mar 2022
Learning Expanding Graphs for Signal Interpolation Bishwadeep Das Elvin Isufi 49 6 0 15 Mar 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey Jiaqi Wen Bogdan Gabrys Katarzyna Musial AI4CE 76 30 0 15 Feb 2022
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach A. Tom Nesreen Ahmed George Karypis 49 1 0 22 Jan 2022
Matrix Completion with Hierarchical Graph Side Information Adel M. Elmahdy Junhyung Ahn Changho Suh S. Mohajer 75 15 0 02 Jan 2022
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 122 47 0 30 Nov 2021
Graph Embedding with Hierarchical Attentive Membership Lu Lin Ethan Blaser Hongning Wang 116 10 0 31 Oct 2021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lio Xiaowen Dong 56 19 0 25 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 71 52 0 24 Oct 2021
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs Junhyung Ahn Adel M. Elmahdy S. Mohajer Changho Suh 49 7 0 12 Sep 2021
Multilayer Networks for Text Analysis with Multiple Data Types Charles C. Hyland Yuanming Tao Lamiae Azizi Martin Gerlach Tiago P. Peixoto E. Altmann 47 15 0 30 Jun 2021
Influence Estimation and Maximization via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 23 0 0 03 Jun 2021
Predicting Links on Wikipedia with Anchor Text Information Robin Brochier F. Béchet KELM 18 4 0 25 May 2021
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks K. Berahmand E. Nasiri Saman Forouzandeh Yuefeng Li 43 64 0 20 May 2021
Private Hierarchical Clustering in Federated Networks Aashish Kolluri Teodora Baluta Prateek Saxena FedML 53 12 0 19 May 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 68 98 0 15 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 106 78 0 14 Apr 2021
Node metadata can produce predictability transitions in network inference problems Oscar Fajardo-Fontiveros Marta Sales-Pardo Roger Guimerà 68 4 0 26 Mar 2021