Representation Learning on Graphs: Methods and Applications

17 September 2017

Papers citing "Representation Learning on Graphs: Methods and Applications"

50 / 260 papers shown

Title
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling Hajar Sakai Sarah Lam 34 0 0 12 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Juan Carlos Climent Pardo 42 0 0 24 Apr 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 38 0 0 12 Mar 2025
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs Jong Ho Jhee Alberto Megina Pacôme Constant Dit Beaufils Matilde Karakachoff Richard Redon Alban Gaignard Adrien Coulet 53 0 0 28 Feb 2025
Self-Supervised Graph Contrastive Pretraining for Device-level Integrated Circuits Sungyoung Lee Z. Wang Seunggeun Kim Taekyun Lee David Z. Pan SSL GNN 78 0 0 13 Feb 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 41 0 0 22 Jan 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications Eugenio Borzone Leandro Di Persia Matias Gerard SSL 70 0 0 21 Jan 2025
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers Markus J. Buehler AI4CE 35 1 0 04 Jan 2025
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 180 0 0 30 Nov 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 38 0 0 04 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 36 0 0 18 Sep 2024
Simbanex: Similarity-based Exploration of IEEE VIS Publications Daniel Witschard Ilir Jusufi Andreas Kerren 21 0 0 31 Aug 2024
Heterogeneous graph attention network improves cancer multiomics integration Sina Tabakhi Charlotte Vandermeulen Ian Sudbery Haiping Lu 21 0 0 05 Aug 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 70 2 0 19 Mar 2024
HeR-DRL:Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation Xinyu Zhou Songhao Piao Wenzheng Chi Liguo Chen Wei Li 78 3 0 15 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 45 5 0 09 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 73 27 0 25 Jan 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 33 17 0 18 Dec 2023
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules Emanuele Cavalleri Alberto Cabri Mauricio Soto Gomez Sara Bonfitto P. Perlasca ... Justin P Reese Peter N. Robinson E. Casiraghi Giorgio Valentini M. Mesiti 19 2 0 30 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 19 8 0 07 Nov 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion Kunze Wang S. Han Josiah Poon 13 3 0 24 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 28 6 0 14 Sep 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 28 0 0 29 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 35 6 0 22 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu A. Micheli 21 6 0 17 Aug 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 30 5 0 15 Jun 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 40 23 0 23 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 25 4 0 17 May 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 25 6 0 15 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 34 14 0 12 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Lukasz Brzozowski Grzegorz Siudem M. Gagolewski 33 1 0 21 Mar 2023
Wind Turbine Gearbox Fault Detection Based on Sparse Filtering and Graph Neural Networks Jinsong Wang K. Loparo 16 0 0 06 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
LaSER: Language-Specific Event Recommendation Sara Abdollahi Simon Gottschalk Elena Demidova 19 4 0 24 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 14 4 0 12 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 31 40 0 09 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
Quadratic Matrix Factorization with Applications to Manifold Learning Zheng Zhai Hengchao Chen Qiang Sun 18 4 0 30 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 21 3 0 29 Jan 2023
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios Tung Nguyen Mona Bavarian 11 0 0 03 Jan 2023
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 48 2 0 04 Dec 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei D. Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 39 14 0 28 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Hernán García Alejandro Correa-Bahnsen Bart Baesens M. Snoeck Cristián Bravo GNN 28 5 0 15 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 16 5 0 07 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 23 1 0 03 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 31 4 0 01 Nov 2022