Simplicial Closure and higher-order link prediction

20 February 2018

Papers citing "Simplicial Closure and higher-order link prediction"

36 / 36 papers shown

Title
Community and hyperedge inference in multiple hypergraphs Li Ni Ziqi Deng Lin Mu Lei Zhang Wenjian Luo Yujie Zhang 46 0 0 08 May 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction Kyuhan Lee Geon Lee Kijung Shin 54 0 0 01 Apr 2025
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 57 4 0 03 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 208 0 0 21 Sep 2024
Modularity Based Community Detection in Hypergraphs Bogumił Kamiński Paweł Misiorek P. Prałat François Théberge 30 3 0 25 Jun 2024
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 35 6 0 30 Nov 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni Xinrui Zhan Ruisi Zhang Tina Eliassi-Rad F. Koushanfar AI4CE 35 8 0 15 Nov 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Yunyong Ko Hanghang Tong Sang-Wook Kim 29 0 0 11 Sep 2023
DYMOND: DYnamic MOtif-NoDes Network Generative Model Giselle Zeno Timothy La Fond Jennifer Neville 14 31 0 01 Aug 2023
Community Detection Using Revised Medoid-Shift Based on KNN Jie Hou Jiakang Li Xiaokang Peng Wei Ke Y. Lu 13 3 0 19 Apr 2023
Clustering with Simplicial Complexes Thummaluru Siddartha Reddy S. Chepuri Pierre Borgnat 9 3 0 14 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 66 8 0 06 Mar 2023
Supervised Hypergraph Reconstruction Yanbang Wang Jon M. Kleinberg 22 2 0 23 Nov 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 27 48 0 07 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 17 40 0 06 Jul 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 38 37 0 09 Jun 2022
Nonbacktracking spectral clustering of nonuniform hypergraphs Philip S. Chodrow Nicole Eikmeier Jamie Haddock 36 21 0 27 Apr 2022
Inference of hyperedges and overlapping communities in hypergraphs Martina Contisciani F. Battiston Caterina De Bacco 32 67 0 12 Apr 2022
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 0 13 Dec 2021
Investigating and Modeling the Dynamics of Long Ties Ding Lyu Yuan. Yuan Lin Wang Xiaofan Wang Alex Pentland 34 15 0 22 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 56 95 0 01 Jul 2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks Changlin Wan Muhan Zhang Weiyu Hao Sha Cao Pan Li Chi Zhang 29 15 0 08 Jun 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 26 38 0 26 May 2021
What are higher-order networks? C. Bick Elizabeth Gross Heather A. Harrington Michael T. Schaub 108 277 0 20 Apr 2021
Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks Balasubramaniam Srinivasan Da Zheng George Karypis GNN 25 21 0 19 Jan 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks Jiawei Xue Nan Jiang Senwei Liang Qiyuan Pang Takahiro Yabe S. Ukkusuri Jianzhu Ma 40 26 0 01 Jan 2021
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 31 12 0 31 Aug 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 36 32 0 08 Jun 2020
Motif-Based Spectral Clustering of Weighted Directed Networks W. Underwood Andrew Elliott Mihai Cucuringu 23 12 0 02 Apr 2020
Minimizing Localized Ratio Cut Objectives in Hypergraphs Nate Veldt Austin R. Benson Jon M. Kleinberg 26 7 0 21 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 38 19 0 18 Feb 2020
Clustering in graphs and hypergraphs with categorical edge labels Ilya Amburg Nate Veldt Austin R. Benson 9 89 0 22 Oct 2019
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription Yu Shi Xinwei He Naijing Zhang Carl Yang Jiawei Han 22 2 0 28 Nov 2018