How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,172 papers shown

Title
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 21 131 0 10 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
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 31 270 0 06 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network H. Dai Chengtao Li Connor W. Coley Bo Dai Le Song 26 177 0 06 Jan 2020
Histogram Layers for Texture Analysis Joshua Peeples Weihuang Xu A. Zare 11 49 0 01 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
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts Mostafa Karimi Di Wu Zhangyang Wang Yang Shen 27 46 0 29 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 15 10 0 27 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 22 78 0 25 Dec 2019
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems Wen Song Zhiguang Cao Jie M. Zhang Andrew Lim 19 33 0 23 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 12 21 0 21 Dec 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 19 47 0 18 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 23 388 0 16 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 13 145 0 13 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 21 132 0 12 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning Qiang Ma Suwen Ge Danyang He D. Thaker Iddo Drori 9 186 0 12 Nov 2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks Pavan Kapanipathi Veronika Thost S. Patel Spencer Whitehead Ibrahim Abdelaziz ... R. Chulaka Gunasekara B. Makni Nicholas Mattei Kartik Talamadupula Achille Fokoue 34 45 0 05 Nov 2019
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation Yi Luo Zhuo Chen N. Mesgarani Takuya Yoshioka 11 178 0 30 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 20 629 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 50 685 0 28 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks V. Ioannidis G. Giannakis AAML 19 8 0 21 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs G. Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Bernard Ghanem 3DPC GNN 34 168 0 15 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 19 26 0 08 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 28 23 0 06 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 26 3 0 03 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Universal Graph Transformer Self-Attention Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung ViT 28 63 0 26 Sep 2019
Graph Random Neural Features for Distance-Preserving Graph Representations Daniele Zambon C. Alippi L. Livi 18 1 0 09 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 16 110 0 06 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 17 5 0 06 Sep 2019
StarNet: Targeted Computation for Object Detection in Point Clouds Jiquan Ngiam Benjamin Caine Wei Han Brandon Yang Yuning Chai ... O. Alsharif Patrick Nguyen Z. Chen Jonathon Shlens Vijay Vasudevan 3DPC 18 111 0 29 Aug 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 30 67 0 17 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Progressive Relation Learning for Group Activity Recognition Guyue Hu Bo Cui Yuan He Shan Yu 20 81 0 08 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas J. Guibas 3DPC 20 133 0 01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 38 840 0 31 Jul 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 22 35 0 21 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 19 79 0 19 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks Peixiang Zhong Di Wang C. Miao 23 513 0 18 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 21 104 0 13 Jul 2019
Diachronic Embedding for Temporal Knowledge Graph Completion Rishab Goel Seyed Mehran Kazemi Marcus A. Brubaker Pascal Poupart 27 340 0 06 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 20 133 0 28 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 6 59 0 12 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer E. Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 19 238 0 11 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 19 195 0 05 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 11 470 0 04 Jun 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 12 268 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 May 2019