On the Bottleneck of Graph Neural Networks and its Practical Implications

9 June 2020

Papers citing "On the Bottleneck of Graph Neural Networks and its Practical Implications"

50 / 403 papers shown

Title
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 27 54 0 09 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 32 62 0 08 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 42 35 0 08 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow L. Ma Guozhu Meng Yang Liu GNN 23 53 0 04 Nov 2021
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems Wenqing Zheng Qiangqiang Guo H. Yang Peihao Wang Zhangyang Wang AI4CE 11 12 0 29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 27 73 0 28 Oct 2021
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features Jiuhai Chen Jonas W. Mueller V. Ioannidis Soji Adeshina Yangkun Wang Tom Goldstein David Wipf 35 12 0 26 Oct 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 29 79 0 25 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 24 76 0 25 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping Gayan K. Kulatilleke Marius Portmann Ryan K. L. Ko Shekhar S. Chandra 22 9 0 21 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 79 0 18 Oct 2021
ifMixup: Interpolating Graph Pair to Regularize Graph Classification Hongyu Guo Yongyi Mao 32 9 0 18 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids Martin Ringsquandl Houssem Sellami Marcel Hildebrandt Dagmar Beyer S. Henselmeyer Sebastian Weber Mitchell Joblin AI4CE 14 17 0 08 Sep 2021
An FEA surrogate model with Boundary Oriented Graph Embedding approach XingYu Fu Fengfeng Zhou Dheeraj Peddireddy Zhengyang Kang M. Jun Vaneet Aggarwal AI4CE 56 2 0 30 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 Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 33 113 0 06 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker H. Katzgraber AI4CE 28 177 0 02 Jul 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 11 16 0 30 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lió Guido Montúfar M. Bronstein GNN 33 224 0 23 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 36 253 0 21 Jun 2021
On the approximation capability of GNNs in node classification/regression tasks Giuseppe Alessio D’Inverno Monica Bianchini M. Sampoli F. Scarselli 34 12 0 16 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 46 505 0 07 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,016 0 30 May 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 31 23 0 12 May 2021
ResVGAE: Going Deeper with Residual Modules for Link Prediction Indrit Nallbani Reyhan Kevser Keser Aydin Ayanzadeh Nurullah cCalik B. U. Toreyin 11 0 0 03 May 2021
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition Jun Chen Aniket Agarwal Sherif Abdelkarim Deyao Zhu Mohamed Elhoseiny ViT 82 16 0 24 Apr 2021
Convolutions for Spatial Interaction Modeling Zhaoen Su Chao Wang David Bradley Carlos Vallespi-Gonzalez Carl K. Wellington Nemanja Djuric AI4CE 30 4 0 15 Apr 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 38 7 0 29 Mar 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 13 25 0 22 Mar 2021
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks George Dasoulas Kevin Scaman Aladin Virmaux GNN 24 40 0 08 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Learning Parametrised Graph Shift Operators George Dasoulas J. Lutzeyer Michalis Vazirgiannis OOD 21 21 0 25 Jan 2021
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python A. Mir Evaldas Latoskinas Sebastian Proksch Georgios Gousios 140 59 0 12 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl S. Zafeiriou GNN AI4CE 11 49 0 31 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 21 3 0 20 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 14 24 0 02 Dec 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 21 44 0 28 Oct 2020
Directional Graph Networks Dominique Beaini Saro Passaro Vincent Létourneau William L. Hamilton Gabriele Corso Pietro Lió 58 184 0 06 Oct 2020
Data-Driven Learning of Geometric Scattering Networks Alexander Tong Frederik Wenkel Kincaid MacDonald Smita Krishnaswamy Guy Wolf GNN 17 5 0 06 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 27 86 0 05 Oct 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 46 0 08 Sep 2020
Graph-based Modeling of Online Communities for Fake News Detection Shantanu Chandra Pushkar Mishra H. Yannakoudakis Madhav Nimishakavi Marzieh Saeidi Ekaterina Shutova GNN 21 44 0 14 Aug 2020
Improving the Long-Range Performance of Gated Graph Neural Networks Denis Lukovnikov Jens Lehmann Asja Fischer GNN 24 6 0 19 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lió GNN 39 54 0 29 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 31 119 0 26 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 36 8 0 06 Jun 2020