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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
MKGL: Mastery of a Three-Word Language Lingbing Guo Zhongpu Bo Zhuo Chen Yichi Zhang Jiaoyan Chen ... Yangyifei Luo Qian Li Qiang Zhang Wen Zhang Huajun Chen 127 4 0 10 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Johan Mathe Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 270 10 0 09 Oct 2024
FLAG: Financial Long Document Classification via AMR-based GNN Bolun "Namir" Xia Aparna Gupta Mohammed J Zaki AI4TS AIFin 135 0 0 02 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 127 0 0 02 Oct 2024
GAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease Favour Nerrise Alice Louise Heiman Ehsan Adeli 107 0 0 01 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 122 2 0 28 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 138 4 0 17 Sep 2024
Heterogeneous Sheaf Neural Networks Luke Braithwaite Iulia Duta Pietro Liò 143 5 0 12 Sep 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization Faezeh Faez Raika Karimi Yingxue Zhang Xing Li Lei Chen Mingxuan Yuan Mahdi Biparva 78 2 0 09 Sep 2024
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 197 11 0 03 Sep 2024
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 614 5 0 27 Aug 2024
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction Tianyu Liu Qitan Lv Jie Wang Shuling Yang Hanzhu Chen 138 4 0 09 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 187 8 0 31 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 197 3 0 16 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 102 1 0 10 Jul 2024
Multicell-Fold: geometric learning in folding multicellular life Haiqian Yang Anh Q. Nguyen Dapeng Bi Markus J. Buehler Ming Guo 42 1 0 09 Jul 2024
A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs Kazi Hasan Thomas Trappenberg I. Haque AI4CE 54 3 0 06 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 174 0 0 03 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 133 2 0 30 Jun 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 139 0 0 29 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 126 13 0 27 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 132 2 0 17 Jun 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 213 14 0 15 Jun 2024
Scoreformer: A Surrogate Model For Large-Scale Prediction of Docking Scores Álvaro Ciudad Adrián Morales-Pastor Laura Malo Isaac Filella-Merce Víctor Guallar Alexis Molina 154 0 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 141 46 0 13 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 130 10 0 12 Jun 2024
I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data Hoang H. Le D. M. Nguyen Omair Shahzad Bhatti Laszlo Kopacsi Thinh P. Ngo Binh T. Nguyen Michael Barz Daniel Sonntag 126 1 0 10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 147 10 0 09 Jun 2024
$Diffusion Models in $\textit{De Novo}$ Drug Design$ Diffusion Models in $\textit{De Novo}$ Drug Design Amira Alakhdar Barnabas Poczos Newell Washburn MedIm 131 40 0 07 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 167 16 0 31 May 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 169 5 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 186 2 0 30 May 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge Yuxi Han Jihe Wang Danghui Wang 113 1 0 29 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks Wanlin Cai Kun Wang Hao Wu Xiaoxu Chen Yuankai Wu AI4TS 86 3 0 28 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 122 22 0 27 May 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Xinfeng Li Kun Wang Tianlong Chen Shirui Pan 122 13 0 23 May 2024
Attending to Topological Spaces: The Cellular Transformer Rubén Ballester Pablo Hernández-García Johan Mathe Claudio Battiloro Nina Miolane Tolga Birdal Carles Casacuberta Sergio Escalera Pavlo Vasylenko 165 5 0 23 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 147 35 0 19 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng Zhang 104 5 0 28 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 144 5 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 139 6 0 20 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 141 5 0 18 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 157 4 0 15 Apr 2024
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks Dimitrios Michail Lefki-Ioanna Panagiotou Charalampos Davalas Ioannis Prapas Spyros Kondylatos Nikolaos Ioannis Bountos Ioannis Papoutsis 144 4 0 09 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 164 10 0 04 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park Ryan Rossi Xing Wang Antoine Simoulin Nesreen K. Ahmed Christos Faloutsos VLM 123 1 0 02 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 269 3 0 19 Mar 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks Miltiadis Kofinas Boris Knyazev Yan Zhang Yunlu Chen Gertjan J. Burghouts E. Gavves Cees G. M. Snoek David W. Zhang 159 45 0 18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 110 0 0 13 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 124 2 0 07 Mar 2024