Title
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang Fanchen Bu Zixing Song Zenglin Xu Shirui Pan Kijung Shin 5 0 0 19 Jun 2025
Over-squashing in Spatiotemporal Graph Neural Networks Ivan Marisca Jacob Bamberger Cesare Alippi Michael M. Bronstein 28 0 0 18 Jun 2025
Training Neural Networks by Optimizing Neuron Positions Laura Erb T. Boccato Alexandru Vasilache Juergen Becker N. Toschi 7 0 0 16 Jun 2025
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Riddhiman Raut R. Maulik Shivam Barwey AI4CE 8 0 0 13 Jun 2025
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Bin Guo John H.L. Hansen 61 0 0 11 Jun 2025
Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs Greyson Brothers ViT 20 0 0 10 Jun 2025
Identifiable Object Representations under Spatial Ambiguities Avinash Kori Francesca Toni Ben Glocker OCL 13 0 0 09 Jun 2025
End-to-End Probabilistic Framework for Learning with Hard Constraints Utkarsh Utkarsh Danielle C. Maddix Ruijun Ma Michael W. Mahoney Yuyang Wang AI4TS BDL 9 0 0 08 Jun 2025
LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids Shilong Tao Zhe Feng Haonan Sun Zhanxing Zhu Yunhuai Liu AI4CE PINN 48 0 0 06 Jun 2025
Flow-Attentional Graph Neural Networks Pascal Plettenberg Dominik Köhler Bernhard Sick Josephine M. Thomas 31 0 0 06 Jun 2025
Relational reasoning and inductive bias in transformers trained on a transitive inference task J. Geerts Stephanie Chan Claudia Clopath Kimberly L. Stachenfeld LRM 26 0 0 04 Jun 2025
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Mihai Cucuringu Henry Kenlay Li Zhang Ning Zhang Xiaowen Dong GNN AAML 48 0 0 01 Jun 2025
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies Sai Vamsi Alisetti Vikas Kalagi Sanjukta Krishnagopal AI4TS 31 0 0 01 Jun 2025
Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Giovanny C-Londoño Javier Sánchez Ángel Rodríguez-Santana AI4Cl AI4CE 48 0 0 30 May 2025
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Zihao Li Xinyuan Cao Xiangbo Gao Kexin Tian Keshu Wu ... Yunlong Zhang Tianbao Yang Dominique Lord Zhengzhong Tu Yang Zhou 70 0 0 27 May 2025
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Mehdi Bennis Salem Lahlou 53 1 0 27 May 2025
Graph-Based Operator Learning from Limited Data on Irregular Domains Yile Li Shandian Zhe AI4CE 37 0 0 25 May 2025
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Alexander Khrabry Edward Startsev Andrew Powis Igor Kaganovich AI4CE 74 0 0 24 May 2025
How Particle System Theory Enhances Hypergraph Message Passing Yixuan Ma Kai Yi Pietro Lio Shi Jin Yu Wang 42 0 0 24 May 2025
Graph Conditional Flow Matching for Relational Data Generation Davide Scassola Sebastiano Saccani Luca Bortolussi 62 1 0 21 May 2025
Finding Maximum Independent Sets in Dynamic Graphs using Unsupervised Learning Devendra Parkar Anya Chaturvedi Andréa W. Richa Joshua J. Daymude 39 0 0 19 May 2025
Multi-Level Monte Carlo Training of Neural Operators James Rowbottom Stefania Fresca Pietro Lio Carola-Bibiane Schönlieb Nicolas Boullé AI4CE 106 1 0 19 May 2025
Structured Representation Arun Kumar Paul Schrater 132 0 0 17 May 2025
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders Guozhong Li Muhannad Alhumaidi Spiros Skiadopoulos Ibrahim Hoteit Panos Kalnis AI4CE 74 0 0 08 May 2025
Learning simple heuristic rules for classifying materials based on chemical composition Andrew Ma Marin Soljacic 53 0 0 05 May 2025
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks William Sutcliffe Marta Calvi Simone Capelli Jonas Eschle J. G. Pardiñas Abhijit Mathad Azusa Uzuki N. Serra 66 0 0 30 Apr 2025
Prototype-enhanced prediction in graph neural networks for climate applications Nawid Keshtmand Elena Fillola Jeffrey N Clark Raúl Santos-Rodríguez Matthew Rigby 78 0 0 24 Apr 2025
Uncovering Issues in the Radio Access Network by Looking at the Neighbors José Suárez-Varela Andra Lutu 38 0 0 20 Apr 2025
Visualization Tasks for Unlabelled Graphs Matt I. B. Oddo Ryan Smith Stephen Kobourov Tamara Munzner 53 0 0 19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 72 0 0 17 Apr 2025
MLPs and KANs for data-driven learning in physical problems: A performance comparison Raghav Pant Sikan Li Xingjian Li Hassan Iqbal Krishna Kumar AI4CE 97 0 0 15 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 94 0 0 15 Apr 2025
Efficient n-body simulations using physics informed graph neural networks Víctor Ramos-Osuna Alberto Díaz-Álvarez Raúl Lara-Cabrera AI4CE 98 0 0 01 Apr 2025
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation Chenxi Liu Yunzhu Li Kris Hauser AI4CE 89 0 0 30 Mar 2025
Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions Sanghyuk Kim Minsik Seo Namwoo Kang AI4CE 75 0 0 25 Mar 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad Luyao Tang Yuxuan Yuan Chen Chen Zeyu Zhang Yue Huang Kun Zhang 95 1 0 24 Mar 2025
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu Xiang He Judah Goldfeder Nadav Timor Allen Roush Ravid Shwartz-Ziv HAI 104 0 0 21 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 127 9 0 19 Mar 2025
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective A. Moharil I. Kumara Damian Tamburri Majid Mohammadi Willem-jan Van Den Heuvel 155 0 0 18 Mar 2025
Learning Privacy from Visual Entities Alessio Xompero Andrea Cavallaro SSL GNN 114 0 0 16 Mar 2025
Learning richness modulates equality reasoning in neural networks William L. Tong Cengiz Pehlevan 66 0 0 12 Mar 2025
The Space Between: On Folding, Symmetries and Sampling Michal Lewandowski Bernhard Heinzl Raphael Pisoni Bernhard A.Moser 89 0 0 11 Mar 2025
Global graph features unveiled by unsupervised geometric deep learning Mirja Granfors Jesús Pineda Blanca Zufiria Gerbolés J. Pereira Carlo Manzo Giovanni Volpe 69 0 0 07 Mar 2025
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies Sourajit Das Navid Naderializadeh Rahul Mangharam 208 0 0 05 Mar 2025
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm Haksub Kim Kanghoon Lee J. Park Jiachen Li Jinkyoo Park 119 1 0 05 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 109 0 0 01 Mar 2025
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving Nanshan Deng Weitao Zhou Bo Zhang Junze Wen Kun Jiang Zhong Cao Ke Wang 52 0 0 28 Feb 2025
Graph Neural Networks embedded into Margules model for vapor-liquid equilibria prediction E. Medina K. Sundmacher 90 0 0 26 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 256 3 0 24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 238 7 0 21 Feb 2025