Title
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 109 4 0 27 May 2024
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 71 5 0 27 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 247 10 0 26 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 72 6 0 25 May 2024
The Road Less Scheduled Aaron Defazio Xingyu Yang Yang Harsh Mehta Konstantin Mishchenko Ahmed Khaled Ashok Cutkosky 120 60 0 24 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 178 4 0 24 May 2024
Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers Vladislav Trifonov Alexander Rudikov Oleg Iliev Ivan Oseledets Ekaterina Muravleva Ekaterina Muravleva 79 4 0 24 May 2024
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision Yulia Rubanova Tatiana López-Guevara Kelsey R. Allen William F. Whitney Kimberly L. Stachenfeld Tobias Pfaff 3DV PINN AI4CE 110 4 0 22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 89 4 0 22 May 2024
Multi Player Tracking in Ice Hockey with Homographic Projections Harish Prakash Jia Cheng Shang Ken M. Nsiempba Yuhao Chen David A Clausi John S. Zelek 71 1 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 139 1 0 22 May 2024
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential Zetian Mao Wenwen Li Jethro Tan 62 3 0 15 May 2024
DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM Christoph Netsch Till Schöpe Benedikt Schindele Joyam Jayakumar 58 1 0 13 May 2024
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning Danilo Comminiello Eleonora Grassucci Danilo P. Mandic A. Uncini HAI AI4CE 63 2 0 11 May 2024
Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano I. McBrearty Paul Segall AI4CE 40 0 0 30 Apr 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 120 4 0 29 Apr 2024
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 105 18 0 17 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 110 7 0 09 Apr 2024
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations Chanho Kim Fuxin Li AI4CE 3DPC 70 1 0 09 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 110 5 0 06 Apr 2024
Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness Shadi Alijani Jamil Fayyad Homayoun Najjaran OOD 109 1 0 05 Apr 2024
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System Yidong Gong Pradeep Kumar GNN 39 4 0 05 Apr 2024
Modeling social interaction dynamics using temporal graph networks J. Kim Archit Naik Isuru Jayarathne Sehoon Ha Jouh Yeong Chew AI4CE 97 1 0 05 Apr 2024
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning Tyler Chang Andrew Gillette R. Maulik 227 4 0 04 Apr 2024
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction A. Young Fei Wang D. Wishart Bo Wang Hannes L. Röst Russell Greiner 79 5 0 02 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 86 14 0 01 Apr 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 83 0 0 26 Mar 2024
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations Luis Piloto Sofia Liguori Sephora Madjiheurem M. Zgubič Sean Lovett Hamish Tomlinson Sophie Elster Chris Apps Sims Witherspoon 78 10 0 26 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 97 0 0 22 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 83 2 0 17 Mar 2024
Understanding the Double Descent Phenomenon in Deep Learning Marc Lafon Alexandre Thomas 94 2 0 15 Mar 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde Meng Liu Alexandra Saxton Shuiwang Ji OOD 97 9 0 07 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur Toshev Harish D. Ramachandran Jonas A. Erbesdobler Gianluca Galletti Johannes Brandstetter Nikolaus A. Adams 87 8 0 07 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 108 3 0 06 Mar 2024
Active Information Gathering for Long-Horizon Navigation Under Uncertainty by Learning the Value of Information Raihan Islam Arnob Gregory J. Stein 51 0 0 05 Mar 2024
CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots Zeqing Zhang Linhan Yang Cong Sun Weiwei Shang Jia Pan 70 2 0 28 Feb 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design Andrew Holliday Gregory Dudek 86 0 0 27 Feb 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations J. Storm I. Rocha F. P. Meer AI4CE 82 2 0 20 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 251 13 0 19 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 182 46 0 16 Feb 2024
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes Tobias Würth Niklas Freymuth C. Zimmerling Gerhard Neumann Luise Kärger AI4CE 65 3 0 16 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 76 11 0 16 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 50 1 0 14 Feb 2024
DisGNet: A Distance Graph Neural Network for Forward Kinematics Learning of Gough-Stewart Platform Huizhi Zhu Wen-Xia Xu Jian Huang Jiaxin Li 80 0 0 14 Feb 2024
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs Jovan Blanusa Maximo Cravero Baraja Andreea Anghel Luc von Niederhäusern Erik Altman Haris Pozidis Kubilay Atasu 403 0 0 13 Feb 2024
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids S. Cho Jae Yong Lee Hyung Ju Hwang GNN AI4CE 74 3 0 13 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 60 3 0 10 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur Toshev Jonas A. Erbesdobler Nikolaus A. Adams Johannes Brandstetter AI4CE 103 5 0 09 Feb 2024
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge Konstantinos Zacharopoulos Georgios Koutroumpas Ioannis Arapakis Konstantinos Georgopoulos Javad Khangosstar Sotiris Ioannidis GNN 60 0 0 08 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 155 14 0 07 Feb 2024