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Principal Neighbourhood Aggregation for Graph Nets

12 April 2020

Papers citing "Principal Neighbourhood Aggregation for Graph Nets"

45 / 395 papers shown

Title
Predicting cognitive scores with graph neural networks through sample selection learning M. Hanik Mehmet Arif Demirtas Mohammed Amine Gharsallaoui I. Rekik 144 14 0 17 Jun 2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track Chengxuan Ying Mingqi Yang Shuxin Zheng Guolin Ke Shengjie Luo Tianle Cai Chenglin Wu Yuxin Wang Yanming Shen Di He 93 11 0 15 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 229 366 0 13 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 106 136 0 10 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 228 472 0 09 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 280 616 0 07 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 96 4 0 06 Jun 2021
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN 83 3 0 28 May 2021
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution Robert A. Barton T. Neiman Changhe Yuan 51 0 0 12 May 2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali 86 12 0 27 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 199 37 0 03 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 78 15 0 30 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 167 11 0 29 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 178 113 0 08 Mar 2021
Learning to Extend Molecular Scaffolds with Structural Motifs Krzysztof Maziarz Henry Jackson-Flux Pashmina Cameron F. Sirockin Nadine Schneider N. Stiefl Marwin H. S. Segler Marc Brockschmidt AI4CE 137 79 0 05 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lio M. Bronstein 158 268 0 04 Mar 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 68 6 0 25 Feb 2021
Hierarchical Graph Representations in Digital Pathology Pushpak Pati Guillaume Jaume A. Foncubierta Florinda Feroce A. Anniciello ... G. Botti Jean-Philippe Thiran Maria Frucci O. Goksel M. Gabrani 89 133 0 22 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 199 391 0 18 Feb 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 224 39 0 17 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 161 61 0 05 Feb 2021
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Baptiste Caramiaux M. Jaeger FedML 150 21 0 15 Dec 2020
Breaking the Expressive Bottlenecks of Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 113 10 0 14 Dec 2020
Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets Charilaos Mylonas Eleni Chatzi 35 0 0 23 Nov 2020
Automorphic Equivalence-aware Graph Neural Network Fengli Xu Quanming Yao Pan Hui Yong Li 103 6 0 09 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 57 47 0 07 Nov 2020
From Local Structures to Size Generalization in Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2024 Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 346 146 0 17 Oct 2020
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu Junkun Chen Louis-Pascal Xhonneux Yoshua Bengio Jian Tang NAI LRM AI4CE 174 196 0 08 Oct 2020
Directional Graph Networks Dominique Beaini Saro Passaro Vincent Létourneau William L. Hamilton Gabriele Corso Pietro Lio 280 200 0 06 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 159 185 0 05 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks Zhiqiang Zhong Chengzong Li Jun Pang AI4CE 84 9 0 01 Oct 2020
Graph neural induction of value iteration Andreea Deac Pierre-Luc Bacon Jian Tang 83 11 0 26 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 341 325 0 24 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 88 2 0 05 Sep 2020
Degree-Quant: Quantization-Aware Training for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 175 152 0 11 Aug 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 102 5 0 24 Jul 2020
Building powerful and equivariant graph neural networks with structural message-passingNeural Information Processing Systems (NeurIPS), 2025 Clément Vignac Andreas Loukas P. Frossard 198 130 0 26 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 206 468 0 16 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 395 137 0 12 Jun 2020
Deep learning of contagion dynamics on complex networks Charles Murphy Edward Laurence Antoine Allard GNN AI4CE 170 73 0 09 Jun 2020
Neural Bipartite Matching Dobrik Georgiev Pietro Lio 159 24 0 22 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 137 15 0 05 May 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 166 40 0 07 Apr 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 892 1,027 0 02 Mar 2020
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 184 193 0 07 Sep 2019