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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
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 106 17 0 19 Mar 2023
Geometric Deep Learning for Molecular Crystal Structure Prediction Michael Kilgour Jutta Rogal M. Tuckerman 125 19 0 17 Mar 2023
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction Matej Gazda P. Drotár L. V. Romaguera Samuel Kadoury MedIm 61 0 0 13 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 165 149 0 10 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 182 24 0 06 Mar 2023
Graph-level representations using ensemble-based readout functions Jakub Binkowski Albert Sawczyn Denis Janiak Piotr Bielak Tomasz Kajdanowicz 108 3 0 03 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 102 3 0 01 Mar 2023
Knowledge Graph Completion with Counterfactual Augmentation Heng Chang Jie Cai Jia Li 100 27 0 25 Feb 2023
Some Might Say All You Need Is Sum Eran Rosenbluth Jan Toenshoff Martin Grohe 114 20 0 22 Feb 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 158 37 0 22 Feb 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 183 30 0 20 Feb 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 181 78 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 160 2 0 17 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 178 4 0 09 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 190 19 0 06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 135 31 0 04 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 137 0 0 04 Feb 2023
Complete Neural Networks for Complete Euclidean Graphs Snir Hordan Tal Amir S. Gortler Nadav Dym 3DPC 139 7 0 31 Jan 2023
Graph Mixer Networks Ahmet Sarigün 42 0 0 29 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao Hannes Stärk Dominique Beaini Yiren Zhao Pietro Lio 98 0 0 27 Jan 2023
On the Expressive Power of Geometric Graph Neural Networks Chaitanya K. Joshi Cristian Bodnar Simon Mathis Taco Cohen Pietro Liò 254 103 0 23 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 131 18 0 21 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 169 18 0 14 Jan 2023
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 135 15 0 18 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 129 15 0 16 Dec 2022
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 110 27 0 29 Nov 2022
Solving Bilevel Knapsack Problem using Graph Neural Networks S. Kwon Hwayong Choi Sungsoo Park 149 3 0 24 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 145 15 0 21 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features Siyang Song Yuxin Song Cheng Luo Zhiyuan Song Selim Kuzucu Xi Jia Zhijiang Guo Weicheng Xie Linlin Shen Hatice Gunes 99 26 0 19 Nov 2022
Flaky Performances when Pretraining on Relational Databases Shengchao Liu David Vazquez Jian Tang Pierre-Andre Noel 93 3 0 09 Nov 2022
Graph Neural Networks with Adaptive Readouts David Buterez J. Janet S. Kiddle Dino Oglic Pietro Lio GNN 89 57 0 09 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 71 18 0 05 Nov 2022
An Aggregation of Aggregation Methods in Computational Pathology M. Bilal R. Jewsbury Ruoyu Wang Hammam M. AlGhamdi Amina Asif Mark Eastwood Nasir M. Rajpoot 111 32 0 02 Nov 2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 127 31 0 01 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 206 73 0 01 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 156 24 0 31 Oct 2022
A Systematic Survey of Chemical Pre-trained Models Jun Xia Yanqiao Zhu Yuanqi Du Stan Z.Li AI4CE 248 55 0 29 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 130 0 0 26 Oct 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 278 25 0 24 Oct 2022
RulE: Knowledge Graph Reasoning with Rule Embedding Xiaojuan Tang Song-Chun Zhu Yitao Liang Muhan Zhang 174 11 0 24 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 234 52 0 22 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 179 64 0 18 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah Leman Akoglu 178 22 0 18 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 186 5 0 14 Oct 2022
Inductive Logical Query Answering in Knowledge Graphs Mikhail Galkin Zhaocheng Zhu Hongyu Ren Jian Tang 114 31 0 13 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 362 507 0 04 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 246 42 0 30 Sep 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 122 4 0 22 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 119 2 0 14 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 292 117 0 07 Sep 2022