Title
Subequivariant Graph Reinforcement Learning in 3D Environments Runfa Chen Jiaqi Han Gang Hua Wen-bing Huang OffRL 76 11 0 30 May 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks Xuming Hu Aiwei Liu Zeqi Tan Xin Zhang Chenwei Zhang Irwin King Philip S. Yu 128 16 0 26 May 2023
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 117 8 0 25 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 144 0 0 25 May 2023
Learning Lagrangian Fluid Mechanics with E( $3$ )-Equivariant Graph Neural Networks Artur Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A. Adams AI4CE 89 7 0 24 May 2023
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing Yi Hu Chao Zhang Edward Andert Harshul Singh Aviral Shrivastava James Laudon Yan-Quan Zhou Bob Iannucci Carlee Joe-Wong 41 1 0 23 May 2023
Provably Learning Object-Centric Representations Jack Brady Roland S. Zimmermann Yash Sharma Bernhard Schölkopf Julius von Kügelgen Wieland Brendel OCL 96 36 0 23 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 70 17 0 22 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 97 4 0 21 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 76 20 0 19 May 2023
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison N. Jeffrey Benjamin Dan Wandelt BDL 67 14 0 18 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design Andrew Holliday Gregory Dudek 27 2 0 18 May 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data Svenja Ehlers Marco Klein Alexander Heinlein Mathies Wedler Nicolas Desmars Norbert Hoffmann M. Stender AI4Cl 68 3 0 18 May 2023
A Generalist Dynamics Model for Control Ingmar Schubert Jingwei Zhang Jake Bruce Sarah Bechtle Emilio Parisotto Martin Riedmiller Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever N. Heess AI4CE 93 33 0 18 May 2023
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Yixuan Huang Nichols Crawford Taylor Adam Conkey Weiyu Liu Tucker Hermans 106 7 0 18 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 81 59 0 15 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks Alessio Micheli Domenico Tortorella 100 8 0 14 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 40 0 0 10 May 2023
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs Roei Herzig Alon Mendelson Leonid Karlinsky Assaf Arbelle Rogerio Feris Trevor Darrell Amir Globerson VLM 108 33 0 10 May 2023
Graph Neural Network-based surrogate model for granular flows Yongjin Choi Krishna Kumar AI4CE 72 23 0 09 May 2023
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain Pu Ren Chengping Rao Haoqin Sun Yang Liu PINN 76 5 0 09 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks Roshan Dhakal Md Ridwan Hossain Talukder Gregory J. Stein 55 3 0 08 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 74 22 0 07 May 2023
Materials Informatics: An Algorithmic Design Rule B. Bishnoi 58 0 0 05 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning E. Lee Joyce C. Ho 65 2 0 04 May 2023
Transforming Visual Scene Graphs to Image Captions Xu Yang Jiawei Peng Zihua Wang Haiyang Xu Qinghao Ye Chenliang Li Mingshi Yan Feisi Huang Zhangzikang Li Yu Zhang 97 21 0 03 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae Gaia Saveri Luca Bortolussi NAI 72 3 0 03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 65 6 0 02 May 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 62 4 0 28 Apr 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 69 5 0 27 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kai Zhang Pulkit Agrawal 100 16 0 27 Apr 2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation Zihao Li Pan Gao Hui Yuan Ran Wei M. Paul 3DPC ViT 56 6 0 27 Apr 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan Chenqing Hua Minkai Xu Qincheng Lu Jiaqi Zhu Xiaoming Chang Jie Fu J. Leskovec Doina Precup 93 5 0 25 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 97 29 0 23 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 102 10 0 22 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 126 3 0 20 Apr 2023
Neurosymbolic Models for Computer Graphics Daniel E. Ritchie Paul Guerrero R. K. Jones Niloy J. Mitra Adriana Schulz Karl D. D. Willis Jiajun Wu 3DV 89 32 0 20 Apr 2023
Beyond Transformers for Function Learning Simon N. Segert Jonathan D. Cohen 36 0 0 19 Apr 2023
SViTT: Temporal Learning of Sparse Video-Text Transformers Yi Li Kyle Min Subarna Tripathi Nuno Vasconcelos 63 13 0 18 Apr 2023
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding Junyao Wang Arnav V. Malawade Junhong Zhou Shi Yu Mohammad Abdullah Al Faruque 91 11 0 17 Apr 2023
EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks Xi Chen Siwei Mai Konstantinos Michmizos GNN 54 0 0 15 Apr 2023
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics P. D. Siedler AI4CE 55 0 0 12 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini Cesare Alippi 101 0 0 11 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks George Watkins Giovanni Montana Juergen Branke GNN 57 4 0 08 Apr 2023
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing Linqing Li Zhifeng Wang 62 11 0 08 Apr 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks Weitao Du Yuanqi Du Limei Wang Dieqiao Feng Guifeng Wang Shuiwang Ji Carla P. Gomes Zhixin Ma AI4CE 92 41 0 07 Apr 2023
NMR shift prediction from small data quantities Herman Rull Markus Fischer S. Kuhn 37 11 0 06 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 107 6 0 06 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement Niklas Freymuth Philipp Dahlinger Tobias Würth Simon Reisch Luise Kärger Gerhard Neumann 120 15 0 03 Apr 2023
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers Awni Altabaa Taylor Webb Jonathan D. Cohen John Lafferty 82 7 0 01 Apr 2023