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Principal Neighbourhood Aggregation for Graph Nets

12 April 2020

Papers citing "Principal Neighbourhood Aggregation for Graph Nets"

50 / 395 papers shown

Title
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 77 20 0 15 Aug 2022
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation Lilas Alrahis J. Knechtel F. Klemme H. Amrouch Ozgur Sinanoglu 71 26 0 04 Aug 2022
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction Artur M. Schweidtmann Jan G. Rittig Jana M. Weber Martin Grohe Manuel Dahmen K. Leonhard Alexander Mitsos 110 33 0 27 Jul 2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules J. Choi Pei Zhang Kshitij Mehta Andrew E. Blanchard Massimiliano Lupo Pasini GNN AI4CE 129 11 0 22 Jul 2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications Ryien Hosseini F. Simini V. Vishwanath GNN 106 2 0 20 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 184 35 0 13 Jul 2022
GraphVid: It Only Takes a Few Nodes to Understand a Video Eitan Kosman Dotan Di Castro GNN 152 5 0 04 Jul 2022
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition Ying Hu Yu Tang Hao-Ming Huang Liang He 82 5 0 03 Jul 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 198 92 0 30 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 152 18 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 193 66 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 159 140 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 159 24 0 22 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 161 27 0 16 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu Limei Wang Bokun Wang Meng Liu Tianbao Yang Shuiwang Ji GNN AI4CE 98 41 0 14 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 216 53 0 07 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 119 2 0 04 Jun 2022
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction Han Li Dan Zhao Jianyang Zeng 118 66 0 02 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks Dingmin Wang Shengchao Liu Hanchen Wang Bernardo Cuenca Grau Linfeng Song Jian Tang Song Le Qi Liu 127 1 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 120 3 0 31 May 2022
Automatic Relation-aware Graph Network Proliferation Shaofei Cai Liang Li Xinzhe Han Jiebo Luo Zhengjun Zha Qingming Huang GNN 93 8 0 31 May 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 261 103 0 31 May 2022
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation Rolandos Alexandros Potamias Alexandros Neofytou Kyriaki-Margarita Bintsi Stefanos Zafeiriou 125 13 0 30 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 129 34 0 28 May 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 187 60 0 26 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 187 128 0 26 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 313 689 0 25 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 146 31 0 24 May 2022
Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis Charilaos I. Kanatsoulis Alejandro Ribeiro 119 5 0 19 May 2022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs Zhaocheng Zhu Mikhail Galkin Zuobai Zhang Jian Tang NAI 124 90 0 16 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Jiajun He Austin Tripp José Miguel Hernández-Lobato 177 24 0 05 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 112 0 0 30 Apr 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 185 38 0 27 Apr 2022
Graph Ordering Attention Networks Michail Chatzianastasis J. Lutzeyer George Dasoulas Michalis Vazirgiannis GNN 110 21 0 11 Apr 2022
Expressiveness and Approximation Properties of Graph Neural Networks Floris Geerts Juan L. Reutter 93 70 0 10 Apr 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 259 94 0 28 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 206 42 0 25 Mar 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization Wei Dong Junsheng Wu Yi-wei Luo Zongyuan Ge Peifeng Wang SSL 113 21 0 23 Mar 2022
Graph Representation Learning with Individualization and Refinement Mohammed Haroon Dupty W. Lee 83 4 0 17 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design Qihua Chen Xuejin Chen Hyun-Myung Woo Byung-Jun Yoon 121 3 0 14 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 163 77 0 02 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 289 162 0 25 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 147 9 0 25 Feb 2022
Message passing all the way up Petar Velickovic 233 70 0 22 Feb 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 59 2 0 18 Feb 2022
Unleashing the Power of Transformer for Graphs Lingbing Guo Qiang Zhang Huajun Chen 118 8 0 18 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 101 42 0 16 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing Hyeokjin Kwon Jong-Min Lee 80 0 0 08 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 221 282 0 07 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 181 129 0 04 Feb 2022