Title
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks Sheng Cheng Yi Ren Yezhou Yang 53 2 0 27 Apr 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 19 2 0 23 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 24 67 0 16 Apr 2022
Mutual information estimation for graph convolutional neural networks Marius Cervera Landsverk S. Riemer-Sørensen SSL GNN 20 1 0 31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 28 54 0 31 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 19 96 0 29 Mar 2022
Graph Neural Networks are Dynamic Programmers Andrew Dudzik Petar Velickovic 24 62 0 29 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 28 23 0 19 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 22 44 0 17 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design Qihua Chen Xuejin Chen Hyun-Myung Woo Byung-Jun Yoon 10 2 0 14 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff AI4TS 11 20 0 14 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois C. Knoll 4 5 0 11 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery Niklas Funk Svenja Menzenbach Georgia Chalvatzaki Jan Peters 11 13 0 08 Mar 2022
Important Object Identification with Semi-Supervised Learning for Autonomous Driving Jiachen Li Haiming Gang Hengbo Ma M. Tomizuka Chiho Choi 19 12 0 05 Mar 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 21 13 0 04 Mar 2022
Graph Neural Networks for Multimodal Single-Cell Data Integration Haifang Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang 21 53 0 03 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 25 31 0 03 Mar 2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers Daniel L. Marino Chathurika S. Wickramasinghe C. Rieger Milos Manic 24 8 0 25 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 14 7 0 25 Feb 2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics Ke Sun Stephen M. Chaves Paul D. Martin Vijay R. Kumar GNN 14 1 0 21 Feb 2022
Equivariant Graph Attention Networks for Molecular Property Prediction Tuan Le Frank Noé Djork-Arné Clevert 11 21 0 20 Feb 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 17 0 0 19 Feb 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 19 53 0 17 Feb 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 12 159 0 15 Feb 2022
Transferable and Adaptable Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan M. Tomizuka Changliu Liu 19 25 0 10 Feb 2022
Multi-model Ensemble Analysis with Neural Network Gaussian Processes Trevor Harris B. Li Ryan Sriver 8 5 0 08 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 27 11 0 03 Feb 2022
Direct Molecular Conformation Generation Jinhua Zhu Yingce Xia Chang-Shu Liu Lijun Wu Shufang Xie ... Tao Qin Wen-gang Zhou Houqiang Li Haiguang Liu Tie-Yan Liu 17 41 0 03 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 26 14 0 01 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 28 26 0 28 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 33 259 0 21 Jan 2022
GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules Mahdi Ghorbani Samarjeet Prasad Jeffery B. Klauda B. Brooks GNN 22 30 0 12 Jan 2022
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad 16 12 0 10 Jan 2022
GLAN: A Graph-based Linear Assignment Network He Liu Tao Wang Congyan Lang Songhe Feng Yi Jin Yidong Li 16 5 0 05 Jan 2022
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs Da Zheng Xiang Song Chengrun Yang Dominique LaSalle George Karypis 3DH GNN 17 54 0 31 Dec 2021
Vision Transformer for Small-Size Datasets Seung Hoon Lee Seunghyun Lee B. Song ViT 6 222 0 27 Dec 2021
3D Instance Segmentation of MVS Buildings Jiazhou Chen Yanghui Xu Shufang Lu Ronghua Liang Liangliang Nan ISeg 3DV 16 23 0 18 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Improving Compositional Generalization with Latent Structure and Data Augmentation Linlu Qiu Peter Shaw Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova CoGe 23 57 0 14 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 28 8 0 10 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 12 25 0 03 Dec 2021
Graph Neural Networks for Charged Particle Tracking on FPGAs Abdelrahman Elabd Vesal Razavimaleki Shih-Yu Huang Javier Mauricio Duarte M. Atkinson ... Bo-Cheng Lai Mark S. Neubauer I. Ojalvo S. Thais Matthew Trahms GNN 28 35 0 03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 11 3 0 03 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos C. Alippi L. Pozzi 18 4 0 29 Nov 2021
Learning to Search in Task and Motion Planning with Streams M. Khodeir Ben Agro Florian Shkurti 14 25 0 25 Nov 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance S. Tsan Raghav Kansal Anthony Aportela Daniel Madrigal Diaz Javier Mauricio Duarte S. Krishna Farouk Mokhtar J. Vlimant M. Pierini 14 19 0 24 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 20 87 0 23 Nov 2021
Composing Partial Differential Equations with Physics-Aware Neural Networks Matthias Karlbauer T. Praditia S. Otte S. Oladyshkin Wolfgang Nowak Martin Volker Butz AI4CE 25 18 0 23 Nov 2021
Physics-enhanced Neural Networks in the Small Data Regime Jonas Eichelsdörfer Sebastian Kaltenbach P. Koutsourelakis AI4CE PINN 6 5 0 19 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 17 138 0 11 Nov 2021