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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
Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis Laura Hansel Timo Lüddecke Alexander S. Ecker MedIm 41 8 0 23 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 73 13 0 20 Dec 2021
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework Shichang Ding Xiangyang Luo Jinwei Wang Xiaoming Fu 111 15 0 18 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 63 22 0 14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 56 30 0 14 Dec 2021
Scalable Geometric Deep Learning on Molecular Graphs Nathan C. Frey S. Samsi Joseph McDonald Lin Li Connor W. Coley V. Gadepally GNN AI4CE 60 4 0 06 Dec 2021
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation Jiaqi Xu Siyang Song Keerthy Kusumam Hatice Gunes Michel Valstar 131 23 0 30 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 48 2 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 80 97 0 23 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 220 15 0 12 Nov 2021
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs Eitan Kosman J. Oren Dotan Di Castro 42 0 0 10 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 75 62 0 09 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 72 38 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 69 51 0 08 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 67 55 0 05 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 78 12 0 04 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 88 32 0 28 Oct 2021
Towards a Taxonomy of Graph Learning Datasets Renming Liu Semih Cantürk Frederik Wenkel Dylan Sandfelder Devin Kreuzer ... Michal Perlmutter Bastian Rieck M. Hirn Guy Wolf Ladislav Rampášek 29 0 0 27 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 125 359 0 27 Oct 2021
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition Siyang Song Zilong Shao S. Jaiswal Linlin Shen Michel Valstar Hatice Gunes 89 8 0 26 Oct 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 97 83 0 25 Oct 2021
SEA: Graph Shell Attention in Graph Neural Networks Christian Frey Yunpu Ma Matthias Schubert 86 1 0 20 Oct 2021
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications Bang Wu Xiangwen Yang Shirui Pan Lizhen Qu AAML 112 62 0 17 Oct 2021
Propagation on Multi-relational Graphs for Node Regression Eda Bayram 58 1 0 15 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 283 330 0 15 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 79 3 0 14 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah GNN 109 165 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 117 180 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 75 50 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 170 79 0 01 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 84 42 0 27 Sep 2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 85 25 0 24 Sep 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 61 2 0 24 Sep 2021
Efficient, Interpretable Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Tim Hsu Tuan Anh Pham N. Keilbart Stephen E. Weitzner James Chapman Penghao Xiao Shenghao Qiu Xiao Chen B. Wood 34 3 0 23 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 63 20 0 21 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 106 1 0 20 Sep 2021
Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$ Renming Liu M. Hirn Arjun Krishnan 29 4 0 15 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 79 172 0 02 Sep 2021
Sparsifying the Update Step in Graph Neural Networks J. Lutzeyer Changmin Wu Michalis Vazirgiannis 64 4 0 02 Sep 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning Yanqiao Zhu Yichen Xu Hejie Cui Carl Yang Qiang Liu Shu Wu 57 9 0 31 Aug 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 71 231 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 95 42 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Helen Zhou Zhangyang Wang AAML GNN 65 65 0 24 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J Zaki D. Subramanian ViT 74 127 0 07 Aug 2021
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation Xiaotian Yu Hanling Yi Yi Yu Ling Xing Shiliang Zhang Xiaoyu Wang GNN 110 0 0 30 Jul 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks Dylan Sandfelder Priyesh Vijayan William L. Hamilton 71 26 0 22 Jul 2021
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology Guillaume Jaume Pushpak Pati Valentin Anklin A. Foncubierta M. Gabrani 84 46 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 69 25 0 20 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 50 31 0 10 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 63 13 0 05 Jul 2021