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Benchmarking Graph Neural Networks

2 March 2020

Vijay Prakash Dwivedi

Papers citing "Benchmarking Graph Neural Networks"

50 / 622 papers shown

Title
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 31 21 0 03 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 134 97 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 73 111 0 01 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 77 64 0 30 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 105 133 0 24 Jun 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Jiaqing Xie Rex Ying GNN 67 3 0 24 Jun 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 81 25 0 24 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 83 237 0 23 Jun 2021
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference R. K. Jones Aalia Habib Rana Hanocka Brown University 54 9 0 22 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 62 6 0 18 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 42 4 0 15 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 86 242 0 14 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 70 66 0 12 Jun 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 479 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 71 343 0 10 Jun 2021
GraphiT: Encoding Graph Structure in Transformers Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal 109 171 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 45 134 0 10 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 99 443 0 09 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 83 128 0 08 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 104 545 0 07 Jun 2021
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 74 182 0 07 Jun 2021
Graph2Graph Learning with Conditional Autoregressive Models Guan Wang F. Lauze Aasa Feragen CML GNN AI4CE 116 2 0 06 Jun 2021
Lymph Node Graph Neural Networks for Cancer Metastasis Prediction M. Kazmierski B. Haibe-Kains 41 6 0 03 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 49 20 0 02 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 125 1,089 0 30 May 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 61 4 0 28 May 2021
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN 57 2 0 28 May 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 26 15 0 21 May 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers Ola Engkvist Charles Tapley Hoyt William L. Hamilton 104 52 0 17 May 2021
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures A. Tolmachev Akira Sakai Masaru Todoriki Koji Maruhashi GNN 22 1 0 01 May 2021
Scaling up graph homomorphism for classification via sampling P. Beaujean F. Sikora Florian Yger 22 3 0 08 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 79 35 0 03 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 90 101 0 03 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 54 15 0 30 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 69 7 0 29 Mar 2021
Rethinking Graph Neural Architecture Search from Message-passing Shaofei Cai Liang Li Jincan Deng Beichen Zhang Zhengjun Zha Li Su Qingming Huang GNN AI4CE 52 53 0 26 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 58 14 0 22 Mar 2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks Ahmed M. Elmoogy Xiaodai Dong Tao Lu Robert Westendorp K. Reddy 40 9 0 17 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 72 415 0 17 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 49 10 0 11 Mar 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs Valentin Anklin Pushpak Pati Guillaume Jaume Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Jean-Philippe Thiran M. Sibony M. Gabrani O. Goksel 109 38 0 04 Mar 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction Weilin Cong M. Ramezani M. Mahdavi 52 5 0 03 Mar 2021
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective Wei Huang Yayong Li Weitao Du Jie Yin R. Xu Ling-Hao Chen Miao Zhang 63 17 0 03 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 98 17 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 93 87 0 01 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 91 176 0 23 Feb 2021
Hierarchical Graph Representations in Digital Pathology Pushpak Pati Guillaume Jaume A. Foncubierta Florinda Feroce A. Anniciello ... G. Botti Jean-Philippe Thiran Maria Frucci O. Goksel M. Gabrani 60 123 0 22 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 48 9 0 20 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 82 360 0 18 Feb 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning Félix Chalumeau Ilan Coulon Quentin Cappart Louis-Martin Rousseau 78 21 0 18 Feb 2021