Representation Learning on Graphs: Methods and Applications

17 September 2017

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

50 / 334 papers shown

Title
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
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network Alaa Bessadok Mohamed Ali Mahjoub I. Rekik MedIm AI4CE 18 16 0 06 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 119 0 23 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Simplicial Complex Representation Learning Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas X. Cai 35 18 0 06 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 24 14 0 02 Mar 2021
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories Claudio Mura R. Pajarola Konrad Schindler Niloy Mitra 3DV 27 10 0 27 Feb 2021
Persistent Homology and Graphs Representation Learning Mustafa Hajij Ghaza Zamzmi X. Cai 43 5 0 25 Feb 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers O. Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 32 94 0 19 Feb 2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice Hugo Latapie Özkan Kiliç Gaowen Liu Yan Yan Ramana Rao Kompella Pei Wang K. Thórisson Adam Lawrence Yuhong Sun Jayanth Srinivasa AI4CE 25 9 0 11 Feb 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 27 14 0 08 Jan 2021
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure Islam Akef Ebeid Majdi Hassan Tingyi Wanyan Jack Roper Abhik Seal Ying Ding 11 5 0 18 Dec 2020
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph Xinhan Di Pengqian Yu Danfeng Yang Hong Zhu Changyu Sun YinDong Liu 3DV 22 4 0 15 Dec 2020
Deep Layout of Custom-size Furniture through Multiple-domain Learning Xinhan Di Pengqian Yu Danfeng Yang Hong Zhu Changyu Sun YinDong Liu 3DV 3DPC 36 0 0 15 Dec 2020
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 20 14 0 12 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 80 110 0 10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 29 36 0 09 Dec 2020
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture Anoushka Vyas S. Bandyopadhyay AI4CE 25 9 0 07 Dec 2020
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention Johannes Pöppelbaum Andreas Schwung 11 13 0 17 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 159 0 09 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 31 103 0 07 Nov 2020
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 9 2 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets Seid Muhie Yimam A. Ayele Gopalakrishnan Venkatesh Ibrahim Gashaw Christian Biemann 30 27 0 02 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 21 15 0 29 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 34 1,076 0 27 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 31 283 0 27 Oct 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 232 505 0 20 Oct 2020
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks Hazem M. Soliman Geoffrey Salmon Dusan Sovilj M. Rao 22 4 0 09 Oct 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion Jiapeng Wu Mengyao Cao Jackie C.K. Cheung William L. Hamilton 12 144 0 07 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 36 216 0 02 Oct 2020
Cell Complex Neural Networks Mustafa Hajij Kyle Istvan Ghada Zamzmi 20 54 0 02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 36 225 0 30 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 15 1 0 26 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 21 167 0 22 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs Gilles Vandewiele Bram Steenwinckel P. Bonte Michael Weyns Heiko Paulheim Petar Ristoski F. Turck F. Ongenae 18 17 0 09 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 47 0 08 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 28 12 0 31 Aug 2020
A Metamodel and Framework for AGI Hugo Latapie Özkan Kiliç 19 1 0 28 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Towards Structured Prediction in Bioinformatics with Deep Learning Yu Li AI4CE 8 1 0 25 Aug 2020
A Survey on Concept Factorization: From Shallow to Deep Representation Learning Zhao Zhang Yan Zhang Mingliang Xu Li Zhang Yi Yang Shuicheng Yan 24 30 0 31 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 15 5 0 24 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 44 67 0 16 Jul 2020
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens Saman Forouzandeh M. Rostami K. Berahmand 21 90 0 15 Jul 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 24 30 0 15 Jul 2020