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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
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 125 576 0 25 May 2022
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey Chenqing Hua Sitao Luan Qian Zhang Jie Fu 94 6 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 120 26 0 24 May 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 69 5 0 20 May 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 42 4 0 20 May 2022
Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis Charilaos I. Kanatsoulis Alejandro Ribeiro 55 4 0 19 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 94 56 0 19 May 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 64 0 0 19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 77 3 0 15 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 62 14 0 07 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 60 0 0 30 Apr 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 111 48 0 23 Apr 2022
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training Zaiyun Lin Shiqiu Yin Lei Shi Wenbiao Zhou Yingsheng J. Zhang 119 8 0 19 Apr 2022
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs Sameera Horawalavithana Ellyn Ayton A. Usenko Shivam Sharma Jasmine Eshun Robin Cosbey M. Glenski Svitlana Volkova 47 2 0 14 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 88 24 0 04 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning Anton Tsitsulin Benedek Rozemberczki John Palowitch Bryan Perozzi 119 29 0 04 Apr 2022
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization Xi Lin Zhiyuan Yang Qingfu Zhang 71 69 0 29 Mar 2022
Dealing with Sparse Rewards Using Graph Neural Networks Matvey Gerasyov Ilya Makarov 49 2 0 25 Mar 2022
Graph Representation Learning with Individualization and Refinement Mohammed Haroon Dupty W. Lee 50 3 0 17 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 63 5 0 15 Mar 2022
Towards Neural Sparse Linear Solvers Luca Grementieri P. Galeone 29 7 0 14 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 88 115 0 01 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 249 69 0 28 Feb 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 80 150 0 25 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 54 5 0 25 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Xiwei Xu Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 100 52 0 22 Feb 2022
1-WL Expressiveness Is (Almost) All You Need Markus Zopf 46 11 0 21 Feb 2022
RDP-Net: Region Detail Preserving Network for Change Detection Hongji Chen Fangling Pu Rui Yang Ruipeng Tang Xin Xu 98 37 0 20 Feb 2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network Tianyu Zhao Cheng Yang Yibo Li Quan Gan Zhenyi Wang Fengqi Liang Huan Zhao Yingxia Shao Xiao Wang Chuan Shi 31 36 0 18 Feb 2022
Unleashing the Power of Transformer for Graphs Lingbing Guo Qiang Zhang Huajun Chen 54 8 0 18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 76 12 0 17 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 64 4 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 53 18 0 17 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 88 183 0 09 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing Hyeokjin Kwon Jong-Min Lee 38 0 0 08 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 100 254 0 07 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 95 115 0 04 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 64 15 0 01 Feb 2022
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data A. Shirian Krishna Somandepalli T. Guha SSL 113 10 0 31 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 165 234 0 30 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 105 77 0 30 Jan 2022
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels V. Vasudevan M. Bassenne Md Tauhidul Islam Lei Xing 70 30 0 29 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 60 13 0 28 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 65 12 0 23 Jan 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Helen Zhou Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 64 14 0 21 Jan 2022
Structure and position-aware graph neural network for airway labeling Weiyi Xie Colin Jacobs Jean-Paul Charbonnier Bram van Ginneken 34 11 0 12 Jan 2022
Dynamic GPU Energy Optimization for Machine Learning Training Workloads Farui Wang Weizhe Zhang Shichao Lai Meng Hao Zheng Wang 52 33 0 05 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 102 2 0 04 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min Lin Xiangnan He Tat-Seng Chua CML OOD 65 158 0 30 Dec 2021
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Thiemo Voigt Dejan Kostic Magnus Boman GNN 21 5 0 24 Dec 2021