How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,172 papers shown

Title
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang R. He 17 153 0 12 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 57 759 0 09 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
End-to-End Differentiable Molecular Mechanics Force Field Construction Yuanqing Wang Josh Fass Benjamin Kaminow John E. Herr Dominic Rufa Ivy Zhang Iván Pulido Mike Henry J. Chodera 19 23 0 02 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 31 214 0 01 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
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties Zeren Shui George Karypis 29 62 0 26 Sep 2020
Learning Graph Normalization for Graph Neural Networks Yihao Chen Xin Tang Xianbiao Qi Chun-Guang Li Rong Xiao AI4CE 11 50 0 24 Sep 2020
Message Passing for Hyper-Relational Knowledge Graphs Mikhail Galkin Priyansh Trivedi Gaurav Maheshwari Ricardo Usbeck Jens Lehmann 27 113 0 22 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
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Z. Wang Yufei Ding AAML 11 34 0 22 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 27 46 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 742 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 23 158 0 07 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 21 72 0 04 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 22 31 0 02 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
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network A. Shirian S. Tripathi T. Guha 13 7 0 06 Aug 2020
Pose-based Modular Network for Human-Object Interaction Detection Zhijun Liang Junfa Liu Y. Guan Juan Rojas 26 15 0 05 Aug 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 47 122 0 04 Aug 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 49 28 0 29 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 15 5 0 24 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 40 595 0 18 Jul 2020
BRP-NAS: Prediction-based NAS using GCNs L. Dudziak Thomas C. P. Chau Mohamed S. Abdelfattah Royson Lee Hyeji Kim Nicholas D. Lane GNN 17 200 0 16 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
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 20 76 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 22 53 0 15 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 44 147 0 13 Jul 2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture Sasikanth Avancha Md. Vasimuddin Sanchit Misra Ramanarayan Mohanty GNN AI4CE 6 4 0 13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 38 17 0 13 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 24 121 0 07 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 22 480 0 05 Jul 2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification Pushpak Pati Guillaume Jaume Lauren Alisha Fernandes A. Foncubierta Florinda Feroce ... G. Botti O. Goksel Jean-Philippe Thiran Maria Frucci M. Gabrani 21 69 0 01 Jul 2020
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian Marc Lelarge 25 111 0 28 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 12 6 0 23 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures Julien Launay Iacopo Poli Franccois Boniface Florent Krzakala 27 62 0 23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 12 156 0 23 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 33 86 0 22 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 13 210 0 19 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 18 134 0 18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 38 931 0 17 Jun 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs Thomas Asikis Lucas Böttcher Nino Antulov-Fantulin 30 42 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 46 424 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 287 0 15 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 34 161 0 14 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020