Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 808 papers shown

Title
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 25 17 0 11 Jun 2022
Fundamental Limits in Formal Verification of Message-Passing Neural Networks Marco Salzer M. Lange GNN 11 10 0 10 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 26 39 0 09 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 30 1 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 35 1 0 04 Jun 2022
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer Maksim Zhdanov S. Steinmann Nico Hoffmann 19 11 0 04 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 27 45 0 02 Jun 2022
Graph Neural Networks with Precomputed Node Features Béni Egressy Roger Wattenhofer 17 2 0 01 Jun 2022
Graph Machine Learning for Design of High-Octane Fuels Jan G. Rittig Martin Ritzert Artur M. Schweidtmann Stefanie Winkler Jana M. Weber P. Morsch K. Heufer Martin Grohe Alexander Mitsos Manuel Dahmen 15 23 0 01 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks Hao Chen Yu Wang Huan Xiong GNN 16 6 0 01 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 43 0 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 75 37 0 30 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 16 31 0 28 May 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias Boutros Khalil Christopher Morris Andrea Lodi AI4CE 31 48 0 27 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 18 12 0 27 May 2022
Group-invariant max filtering Jameson Cahill Joseph W. Iverson D. Mixon Dan Packer 27 21 0 27 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies Steven J. Krieg William C. Burgis Patrick M. Soga Nitesh V. Chawla AI4CE GNN 24 3 0 27 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 14 100 0 26 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi A. Luu Guy Wolf Dominique Beaini 57 515 0 25 May 2022
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 14 3 0 24 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 78 180 0 23 May 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited Nils M. Kriege 16 15 0 22 May 2022
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey Gaoang Wang Xiuming Zhang Jenq-Neng Hwang VOT 59 15 0 22 May 2022
Learning Generalized Policies Without Supervision Using GNNs Simon Ståhlberg Blai Bonet Hector Geffner OffRL 26 27 0 12 May 2022
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker Jeongseok Hyun Myunggu Kang Dongyoon Wee Dit-Yan Yeung VOT 18 37 0 02 May 2022
Large Neighborhood Search based on Neural Construction Heuristics Jonas K. Falkner Daniela Thyssens Lars Schmidt-Thieme AI4TS 12 3 0 02 May 2022
Multi stain graph fusion for multimodal integration in pathology Chaitanya Dwivedi Shima Nofallah Maryam Pouryahya Janani Iyer K. Leidal ... T. Watkins A. Billin R. Myers J. Abel A. Behrooz 28 18 0 26 Apr 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 22 46 0 23 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints Luis Bottcher Hinrikus Wolf Bastian Jung Philipp Lutat M. Trageser Oliver Pohl Andreas Ulbig Martin Grohe 20 10 0 14 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping Nada Chaari H. Camgöz-Akdag I. Rekik 23 6 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 36 67 0 04 Apr 2022
A Survey on Machine Learning Solutions for Graph Pattern Extraction Kai Siong Yow Ningyi Liao Siqiang Luo Reynold Cheng Chenhao Ma Xiaolin Han 32 3 0 03 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 16 26 0 02 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 27 6 0 01 Apr 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection VS Vibashan Poojan Oza Vishal M. Patel 27 66 0 29 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 50 40 0 25 Mar 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction Alex Morehead Watchanan Chantapakul Jianlin Cheng 14 0 0 23 Mar 2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification Zhaohui Wang Qi Cao Huawei Shen Bingbing Xu Xueqi Cheng 20 2 0 22 Mar 2022
Graph Representation Learning with Individualization and Refinement Mohammed Haroon Dupty W. Lee 19 2 0 17 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Towards Neural Sparse Linear Solvers Luca Grementieri P. Galeone 11 6 0 14 Mar 2022
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets Yu Shi Shuxin Zheng Guolin Ke Yifei Shen Jiacheng You Jiyan He Shengjie Luo Chang-Shu Liu Di He Tie-Yan Liu AI4CE 42 65 0 09 Mar 2022
Graph Representation Learning Beyond Node and Homophily You Li Bei Lin Binli Luo Ning Gui SSL 17 15 0 03 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 32 13 0 02 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 35 107 0 01 Mar 2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets Yu Shi Shuxin Zheng Guolin Ke Yifei Shen Jiacheng You Jiyan He Shengjie Luo Chang-Shu Liu Di He Tie-Yan Liu AI4CE 10 0 0 28 Feb 2022