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
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks Sammy Khalife Josué Tonelli-Cueto 29 0 0 02 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 31 0 0 02 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 20 0 0 02 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power Zhe Wang Tianjian Zhao Zhen Zhang Jiawei Chen Sheng Zhou Yan Feng Chun Chen Can Wang 34 1 0 02 Oct 2024
TAVRNN: Temporal Attention-enhanced Variational Graph RNN Captures Neural Dynamics and Behavior M. Khajehnejad Forough Habibollahi Ahmad Khajehnejad Brett J. Kagan Adeel Razi 21 1 0 01 Oct 2024
Learning to Ground Existentially Quantified Goals Martin Funkquist Simon Ståhlberg Hector Geffner 16 0 0 30 Sep 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 30 0 0 26 Sep 2024
Symmetries and Expressive Requirements for Learning General Policies Dominik Drexler Simon Ståhlberg Blai Bonet Hector Geffner 29 0 0 24 Sep 2024
A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 30 0 0 17 Sep 2024
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes Kai Shu Yuzhuo Jia Ziyang Zhang Jiechao Gao MedIm 24 0 0 06 Sep 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP Attila Lischka Jiaming Wu M. Chehreghani Balázs Kulcsár 21 1 0 29 Aug 2024
Do Graph Neural Networks Work for High Entropy Alloys? Hengrui Zhang Ruishu Huang Jie Chen J. Rondinelli Wei Chen AI4CE 24 2 0 29 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 35 0 0 24 Aug 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models Samuel Cognolato A. Sperduti Luciano Serafini DiffM 39 0 0 23 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 35 2 0 21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 32 0 0 21 Aug 2024
Graph Classification with GNNs: Optimisation, Representation and Inductive Bias P. Krishna Kumar a H. G. Ramaswamy 26 0 0 17 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 32 0 0 14 Aug 2024
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models Jialiang Wang Shimin Di Hanmo Liu Zhili Wang Jiachuan Wang Lei Chen Xiaofang Zhou 34 0 0 13 Aug 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much? Rafał Karczewski Samuel Kaski Markus Heinonen Vikas K. Garg 33 0 0 12 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 43 0 0 26 Jul 2024
A Large Encoder-Decoder Family of Foundation Models For Chemical Language Eduardo Soares Victor Shirasuna E. V. Brazil Renato F. G. Cerqueira Dmitry Zubarev Kristin Schmidt AI4CE 27 7 0 24 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 39 2 0 19 Jul 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning Yifan Wang Xiao Luo Chong Chen Xian-Sheng Hua Ming Zhang Wei Ju 27 24 0 19 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 43 0 0 11 Jul 2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction Jun-Hyung Park Yeachan Kim Mingyu Lee Hyuntae Park SangKeun Lee 30 0 0 09 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 36 1 0 05 Jul 2024
NeuroSteiner: A Graph Transformer for Wirelength Estimation S. Manchanda D. Kianfar Markus Peschl Romain Lepert Michaël Defferrard 24 0 0 04 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 46 1 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 59 0 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 24 1 0 30 Jun 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification Tianjun Yao Jiaqi Sun Defu Cao Kun Zhang Guangyi Chen 37 5 0 28 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 33 11 0 27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 65 42 0 26 Jun 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 41 0 0 25 Jun 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 48 0 0 25 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 28 0 0 24 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 37 2 0 20 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 40 2 0 18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 29 1 0 17 Jun 2024
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks S. S. Shuvo Ali Aghdaei Zhuo Feng 45 0 0 15 Jun 2024
On the Expressibility of the Reconstructional Color Refinement V. Arvind J. Köbler O. Verbitsky 14 1 0 13 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 32 1 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 44 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 37 16 0 13 Jun 2024
Separation Power of Equivariant Neural Networks Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 31 0 0 13 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 44 4 0 13 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo Nicolo Colombo 29 9 0 12 Jun 2024
A novel approach to graph distinction through GENEOs and permutants Giovanni Bocchi Massimo Ferri Patrizio Frosini 20 2 0 12 Jun 2024