Title
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders Guozhong Li Muhannad Alhumaidi Spiros Skiadopoulos Ibrahim Hoteit Panos Kalnis AI4CE 24 0 0 08 May 2025
Learning simple heuristic rules for classifying materials based on chemical composition Andrew Ma Marin Soljacic 24 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 36 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 42 0 0 24 Apr 2025
Uncovering Issues in the Radio Access Network by Looking at the Neighbors José Suárez-Varela Andra Lutu 21 0 0 20 Apr 2025
Visualization Tasks for Unlabelled Graphs Matt I. B. Oddo Ryan Smith Stephen Kobourov Tamara Munzner 27 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 27 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 43 0 0 15 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 42 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 33 0 0 01 Apr 2025
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation C. Karen Liu Yunzhu Li Kris Hauser AI4CE 31 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 43 0 0 25 Mar 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad Luyao Tang Yuxuan Yuan C. L. P. Chen Zeyu Zhang Yue Huang Kun Zhang 48 0 0 24 Mar 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 39 0 0 21 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 42 3 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 55 0 0 18 Mar 2025
Learning Privacy from Visual Entities Alessio Xompero Andrea Cavallaro SSL GNN 61 0 0 16 Mar 2025
Heterogeneous graph neural networks for species distribution modeling Lauren Harrell Christine Kaeser-Chen Burcu Karagol Ayan Keith Anderson Michelangelo Conserva Elise Kleeman Maxim Neumann Matt Overlan Melissa Chapman Drew Purves 49 0 0 14 Mar 2025
Learning richness modulates equality reasoning in neural networks William L. Tong C. Pehlevan 42 0 0 12 Mar 2025
The Space Between: On Folding, Symmetries and Sampling Michal Lewandowski Bernhard Heinzl Raphael Pisoni Bernhard A.Moser 55 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 37 0 0 07 Mar 2025
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm H. Kim Kanghoon Lee J. Park Jiachen Li Jinkyoo Park 60 1 0 05 Mar 2025
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies Sourajit Das Navid Naderializadeh Rahul Mangharam 29 0 0 05 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 39 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 D. Yang 36 0 0 28 Feb 2025
Graph Neural Networks embedded into Margules model for vapor-liquid equilibria prediction E. Medina K. Sundmacher 53 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 90 2 0 24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 68 1 0 12 Feb 2025
When, Where and Why to Average Weights? Niccolò Ajroldi Antonio Orvieto Jonas Geiping MoMe 91 0 0 10 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 99 0 0 06 Feb 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 59 4 0 28 Jan 2025
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics Tze Ho Elden Tse Runyang Feng Linfang Zheng Jiho Park Yixing Gao Jihie Kim A. Leonardis H. Chang 44 0 0 13 Jan 2025
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions Jangseop Park Namwoo Kang AI4CE 3DPC 52 1 0 24 Dec 2024
A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata Jeet Singh 24 0 0 20 Dec 2024
Lightweight Decentralized Neural Network-Based Strategies for Multi-Robot Patrolling James Ward Ryan McConville Edmund R. Hunt 76 0 0 16 Dec 2024
Pretrained Event Classification Model for High Energy Physics Analysis Joshua Ho Benjamin Ryan Roberts Shuo Han Haichen Wang 84 1 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Z. Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 118 0 0 13 Dec 2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Muhammad Arslan Manzoor Ruihong Zeng Dilshod Azizov Preslav Nakov Shangsong Liang 74 0 0 12 Dec 2024
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems Rui-Qi Li Song Wang Chen Wang AI4CE 76 0 0 10 Dec 2024
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning Kichang Lee Jaeho Jin JaeYeon Park Jeonggil Ko JeongGil Ko FedML 70 0 0 10 Dec 2024
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Zhepeng Wang Runxue Bao Yawen Wu Guodong Liu Lei Yang Liang Zhan Feng Zheng Weiwen Jiang Yanfu Zhang 68 0 0 09 Dec 2024
Spatial Clustering of Molecular Localizations with Graph Neural Networks Jesús Pineda Sergi Masó-Orriols Joan Bertran Mattias Goksör Giovanni Volpe Carlo Manzo 62 0 0 29 Nov 2024
Anticipatory Planning for Performant Long-Lived Robot in Large-Scale Home-Like Environments Md Ridwan Hossain Talukder Raihan Islam Arnob Gregory J. Stein 69 0 0 19 Nov 2024
Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report) Parosh Aziz Abdulla Mohamed Faouzi Atig Julie Cailler Chencheng Liang P. Rümmer 66 0 0 19 Nov 2024
Conformation Generation using Transformer Flows Sohil Shah V. Koltun MedIm AI4CE 31 0 0 16 Nov 2024
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads Qidong Zhao Hao Wu Yuming Hao Zilingfeng Ye Jiajia Li Xu Liu Keren Zhou 29 0 0 05 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 49 0 0 03 Nov 2024
COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling Ruisi He Nicola D. Cicco Bo Ai Mi Yang Yang Miao Mate Boban 60 3 0 31 Oct 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024