Representation Learning on Graphs: Methods and Applications

17 September 2017

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

50 / 269 papers shown

Title
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 25 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 16 15 0 29 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 25 1,072 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 15 283 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 229 503 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 14 4 0 09 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 10 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 19 167 0 22 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng-Long Jiang Taeho Jung Ryan Karl Tong Zhao FedML 14 31 0 15 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 14 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 11 17 0 09 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 27 46 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 23 12 0 31 Aug 2020
A Metamodel and Framework for AGI Hugo Latapie Özkan Kiliç 14 1 0 28 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 34 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 13 90 0 15 Jul 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 24 30 0 15 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 14 218 0 03 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 46 81 0 02 Jul 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
A metric on directed graphs and Markov chains based on hitting probabilities Z. Boyd Nicolas Fraiman J. Marzuola P. Mucha Braxton Osting J. Weare 21 9 0 25 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 38 1,586 0 15 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 23 32 0 08 Jun 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation Hyeoncheol Cho E. Lee I. Choi GNN FAtt 17 4 0 12 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks Ramin Hasibi T. Michoel AI4CE 21 1 0 08 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,647 0 02 May 2020
RigNet: Neural Rigging for Articulated Characters Zhan Xu Yang Zhou E. Kalogerakis Chris Landreth Karan Singh 3DH 30 51 0 01 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 16 3 0 28 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 26 8 0 23 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 27 650 0 12 Apr 2020
Graph Enhanced Representation Learning for News Recommendation Suyu Ge Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang AI4TS 22 123 0 31 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 29 170 0 27 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs Binod Bhattarai Tae-Kyun Kim GAN 37 19 0 13 Mar 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs Zequn Sun Qingheng Zhang Wei Hu Chengming Wang Muhao Chen F. Akrami Chengkai Li 19 242 0 10 Mar 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg Navodita Sharma Woojeong Jin Xiang Ren AI4TS 22 8 0 09 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 35 22 0 25 Feb 2020
Residual Correlation in Graph Neural Network Regression J. Jia Austin R. Benson 25 25 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 9 607 0 19 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks M. Leming Juan M Gorriz J. Suckling 14 51 0 14 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 14 32 0 09 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 25 11 0 27 Jan 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Dongrui Fan Yuan Xie GNN 30 287 0 07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 42 276 0 29 Dec 2019
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network Yining Hu Suranga Seneviratne Kanchana Thilakarathna K. Fukuda Aruna Seneviratne 14 52 0 27 Dec 2019