Title
Anticipatory Task and Motion Planning Roshan Dhakal Duc M. Nguyen Tom Silver Xuesu Xiao Gregory J. Stein 29 1 0 18 Jul 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 50 2 0 17 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 31 5 0 10 Jul 2024
Predicting 3D Rigid Body Dynamics with Deep Residual Network Abiodun Finbarrs Oketunji PINN AI4CE 32 0 0 09 Jul 2024
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network Zexian Huang K. Khoshelham Martin Tomko 39 1 0 05 Jul 2024
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes Zexian Huang K. Khoshelham Gunditj Mirring Traditional Owners Corporation Martin Tomko 3DV 38 0 0 05 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat 34 0 0 02 Jul 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis Alejandro Ribés Nawfal Benchekroun Théo Delagnes AI4CE 43 1 0 27 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 49 4 0 26 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara OffRL 34 1 0 21 Jun 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding Mingkun Wang Xiaoguang Ren Ruochun Jin Minglong Li Xiaochuan Zhang Changqian Yu Mingxu Wang Wenjing Yang 48 1 0 20 Jun 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey Igor G. Smit Jianan Zhou Robbert Reijnen Yaoxin Wu Jian Chen Cong Zhang Z. Bukhsh Wim P. M. Nuijten Yingqian Zhang GNN AI4CE 36 8 0 20 Jun 2024
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 32 0 0 19 Jun 2024
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning Dantong Niu Yuvan Sharma Giscard Biamby Jerome Quenum Yutong Bai Baifeng Shi Trevor Darrell Roei Herzig LM&Ro VLM 50 23 0 17 Jun 2024
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model Hantao Zhou Tianying Ji Lukas Sommerhalder Michael Goerner Norman Hendrich Jianwei Zhang Fuchun Sun Huazhe Xu 50 0 0 14 Jun 2024
Understanding active learning of molecular docking and its applications Jeonghyeon Kim Juno Nam Seongok Ryu 35 0 0 14 Jun 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention Avinash Kori Francesco Locatello Ainkaran Santhirasekaram Francesca Toni Ben Glocker Fabio De Sousa Ribeiro OCL 45 1 0 11 Jun 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 47 1 0 10 Jun 2024
Attention as a Hypernetwork Simon Schug Seijin Kobayashi Yassir Akram João Sacramento Razvan Pascanu GNN 37 3 0 09 Jun 2024
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals Zhicheng Cai 36 0 0 06 Jun 2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray Faisal Amlani Frédéric Feyel David Néron AI4CE 34 5 0 03 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study Jintang Li Ruofan Wu Xinzhou Jin Boqun Ma Liang Chen Zibin Zheng 68 3 0 03 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 47 8 0 29 May 2024
Causal Action Influence Aware Counterfactual Data Augmentation Núria Armengol Urpí Marco Bagatella Marin Vlastelica Georg Martius CML 33 5 0 29 May 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford Bahare Fatemi Ethan Hall Anton Tsitsulin Seyed Mehran Kazemi Jonathan J. Halcrow Bryan Perozzi Vahab Mirrokni 41 30 0 28 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 35 4 0 27 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 37 5 0 25 May 2024
The Road Less Scheduled Aaron Defazio Xingyu Yang Yang Harsh Mehta Konstantin Mishchenko Ahmed Khaled Ashok Cutkosky 33 45 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 73 3 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 V. Oseledets Ekaterina A. Muravleva Ekaterina Muravleva 39 2 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 48 3 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 35 3 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 40 0 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 57 1 0 22 May 2024
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential Zetian Mao Wenwen Li Jethro Tan 38 2 0 15 May 2024
DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM Christoph Netsch Till Schöpe Benedikt Schindele Joyam Jayakumar 34 0 0 13 May 2024
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning Danilo Comminiello Eleonora Grassucci Danilo P. Mandic A. Uncini HAI AI4CE 31 2 0 11 May 2024
Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano I. McBrearty Paul Segall AI4CE 30 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 46 3 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 39 12 0 17 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations Chanho Kim Fuxin Li AI4CE 3DPC 50 0 0 09 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi Celia Rubio-Madrigal R. Burkholz 40 1 0 06 Apr 2024
Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness Shadi Alijani Jamil Fayyad H. Najjaran OOD 32 9 0 05 Apr 2024
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System Yidong Gong Pradeep Kumar GNN 35 3 0 05 Apr 2024
Modeling social interaction dynamics using temporal graph networks J. Kim Archit Naik Isuru Jayarathne Sehoon Ha Jouh Yeong Chew AI4CE 23 1 0 05 Apr 2024
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning Tyler Chang Andrew Gillette R. Maulik 46 2 0 04 Apr 2024