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
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 13 32 0 28 Feb 2022
Distribution Preserving Graph Representation Learning Chengsheng Mao Yuan Luo 16 0 0 27 Feb 2022
Directed Graph Auto-Encoders Georgios Kollias Vasileios Kalantzis Tsuyoshi Idé A. Lozano Naoki Abe BDL GNN 30 34 0 25 Feb 2022
Message passing all the way up Petar Velickovic 111 63 0 22 Feb 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation Jinjiang Guo Qi Liu Han Guo Xi Lu AI4CE 18 3 0 21 Feb 2022
1-WL Expressiveness Is (Almost) All You Need Markus Zopf 19 11 0 21 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 25 4 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 21 218 0 16 Feb 2022
Instance-wise algorithm configuration with graph neural networks Romeo Valentin Claudio Ferrari Jérémy Scheurer Andisheh Amrollahi Chris Wendler Max B. Paulus 14 3 0 10 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio' Michael M. Bronstein 29 170 0 09 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 28 237 0 07 Feb 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples Natalia Garcia Martin S. Malacrino M. Wojciechowska L. Campo Helen Jones ... Chris Holmes K. Sirinukunwattana H. Sailem C. Verrill J. Rittscher 14 5 0 01 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 80 54 0 01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 32 14 0 31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 27 7 0 31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 100 46 0 30 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 99 224 0 30 Jan 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 17 12 0 28 Jan 2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs Zhe Lin Zike Yuan Jieru Zhao Wei Zhang Hui Wang Yonghong Tian 12 18 0 25 Jan 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching Hanchen Wang Ying Zhang Lu Qin Wei Wang Wenbo Zhang Xuemin Lin 27 18 0 25 Jan 2022
On Evaluation Metrics for Graph Generative Models Rylee Thompson Boris Knyazev Elahe Ghalebi Jungtaek Kim Graham W. Taylor EGVM 40 41 0 24 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 21 12 0 23 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 38 24 0 20 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts Ying-Shuai Wanga Yunxia Liua Licong Dongc Xuzhou Wua Huabin Zhangb Qiongyu Yed Desheng Sunc Xiaobo Zhoue Kehong Yuan 27 0 0 19 Jan 2022
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants Ningyuan Huang Soledad Villar 24 62 0 18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 33 19 0 16 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 41 2 0 04 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 13 78 0 03 Jan 2022
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zhifeng Hao 14 22 0 30 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 22 6 0 23 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 43 111 0 18 Dec 2021
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching Xin Liu Yangqiu Song GNN 24 24 0 16 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 41 20 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 15 27 0 14 Dec 2021
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds Junho Koh Jaekyum Kim J. Yoo Yecheol Kim Dongsuk Kum Junghwan Choi 3DPC 19 14 0 14 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 25 33 0 13 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 36 8 0 10 Dec 2021
A systematic approach to random data augmentation on graph neural networks Billy Joe Franks Markus Anders Marius Kloft Pascal Schweitzer OOD AAML 6 0 0 08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 26 97 0 07 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs Yoann Boget Magda Gregorova Alexandros Kalousis GAN 11 0 0 07 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image Rahul Dey Vishnu Naresh Boddeti CVBM 3DH 26 7 0 01 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 41 425 0 29 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 18 0 0 25 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 20 2 0 25 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 20 4 0 22 Nov 2021
IV-GNN : Interval Valued Data Handling Using Graph Neural Network Sucheta Dawn S. Bandyopadhyay GNN 67 1 0 17 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 22 138 0 11 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 42 35 0 08 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 41 2 0 05 Nov 2021