Papers citing 'Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks'

Title
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers Ruiyu Li Peilin Zhao Guangxia Li Zhiqiang Xu Xuewei Li 123 1 0 09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree VocabularyNeural Information Processing Systems (NeurIPS), 2024 Zehong Wang Zheyuan Zhang Nitesh Chawla Chuxu Zhang Yanfang Ye 236 41 0 09 Nov 2024
Graph neural networks and non-commuting operatorsNeural Information Processing Systems (NeurIPS), 2024 Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 846 4 0 06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xiang Wang Muhan Zhang 219 1 0 06 Nov 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 246 1 0 04 Nov 2024
A General Recipe for Contractive Graph Neural Networks -- Technical Report Maya Bechler-Speicher Moshe Eliasof 92 0 0 04 Nov 2024
WLPlan: Relational Features for Symbolic Planning Dillon Z. Chen 242 0 0 01 Nov 2024
Homomorphism Counts as Structural Encodings for Graph LearningInternational Conference on Learning Representations (ICLR), 2024 Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 294 7 0 24 Oct 2024
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 242 0 0 21 Oct 2024
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership Jiahao Wang Amer Shalaby AI4TS 117 2 0 19 Oct 2024
Towards Bridging Generalization and Expressivity of Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2024 Shouheng Li Floris Geerts Dongwoo Kim Qing Wang 261 8 0 14 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 263 1 0 13 Oct 2024
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis Zhifei Li Gerrit Großmann V. Wolf 154 0 0 11 Oct 2024
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network Yonatan Sverdlov Yair Davidson Nadav Dym Tal Amir 242 7 0 10 Oct 2024
A note on the VC dimension of 1-dimensional GNNs Noah Daniëls Floris Geerts 110 1 0 10 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 312 1 0 09 Oct 2024
Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective Junru Zhou Muhan Zhang 225 0 0 04 Oct 2024
Linear Transformer Topological Masking with Graph Random FeaturesInternational Conference on Learning Representations (ICLR), 2024 Isaac Reid Kumar Avinava Dubey Deepali Jain Will Whitney Amr Ahmed ... Connor Schenck Richard E. Turner René Wagner Adrian Weller Krzysztof Choromanski 224 4 0 04 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk PredictionJournal of Computational and Applied Mathematics (JCAM), 2024 Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 310 5 0 04 Oct 2024
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 205 1 0 03 Oct 2024
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks Sammy Khalife Josué Tonelli-Cueto 163 0 0 02 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 198 1 0 02 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 147 1 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 190 1 0 02 Oct 2024
Graph-Based Representation Learning of Neuronal Dynamics and Behavior M. Khajehnejad Forough Habibollahi Ahmad Khajehnejad Chris French Brett J. Kagan Adeel Razi 288 0 0 01 Oct 2024
Learning to Ground Existentially Quantified GoalsInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2024 Martin Funkquist Simon Ståhlberg Hector Geffner 119 1 0 30 Sep 2024
Supra-Laplacian Encoding for Transformer on Dynamic GraphsNeural Information Processing Systems (NeurIPS), 2024 Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 206 5 0 26 Sep 2024
Symmetries and Expressive Requirements for Learning General PoliciesInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2024 Dominik Drexler Simon Ståhlberg Blai Bonet Hector Geffner 132 6 0 24 Sep 2024
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 299 0 0 17 Sep 2024
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal AttributesIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024 Kai Shu Yuzhuo Jia Ziyang Zhang Jiechao Gao MedIm 307 0 0 06 Sep 2024
Do Graph Neural Networks Work for High Entropy Alloys? Hengrui Zhang Ruishu Huang Jie Chen J. Rondinelli Wei Chen AI4CE 112 2 0 29 Aug 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP Attila Lischka Filip Rydin Jiaming Wu M. Chehreghani Balázs Kulcsár 214 5 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 242 0 0 24 Aug 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative ModelsEuropean Conference on Artificial Intelligence (ECAI), 2024 Samuel Cognolato A. Sperduti Luciano Serafini DiffM 179 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 263 2 0 21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 229 0 0 21 Aug 2024
Graph Classification with GNNs: Optimisation, Representation and Inductive BiasEuropean Conference on Artificial Intelligence (ECAI), 2024 P. Krishna Kumar a H. G. Ramaswamy 198 0 0 17 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 207 0 0 14 Aug 2024
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models Jialiang Wang Hanmo Liu Hanmo Liu Zhili Wang Jiachuan Wang Lei Chen Xiaofang Zhou 243 0 0 13 Aug 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Rafał Karczewski Samuel Kaski Markus Heinonen Vikas Garg 293 0 0 12 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 231 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 236 13 0 24 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Yang Liu Zeke Wang Yonggang Wen Tianwei Zhang GNN 211 6 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 193 36 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 307 26 0 12 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 299 6 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 157 0 0 09 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 206 6 0 05 Jul 2024
NeuroSteiner: A Graph Transformer for Wirelength Estimation S. Manchanda D. Kianfar Markus Peschl Romain Lepert Michaël Defferrard 96 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 253 3 0 02 Jul 2024