Title
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Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 98 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 85 42 0 03 Feb 2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization Dianbo Liu Alex Lamb Xu Ji Pascal Junior Tikeng Notsawo Michael C. Mozer Yoshua Bengio Kenji Kawaguchi 63 16 0 02 Feb 2022
Learning to reason about and to act on physical cascading events Yuval Atzmon E. Meirom Shie Mannor Gal Chechik LRM 53 0 0 02 Feb 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 70 14 0 01 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 97 46 0 01 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 76 1 0 01 Feb 2022
Learning Physics-Consistent Particle Interactions Zhichao Han David S. Kammer Olga Fink 74 7 0 01 Feb 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks Davide Mambelli Frederik Trauble Stefan Bauer Bernhard Schölkopf Francesco Locatello OCL 93 17 0 31 Jan 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 120 17 0 28 Jan 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 66 5 0 28 Jan 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao Sun AI4CE 115 30 0 28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 127 82 0 28 Jan 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction M. Tygesen Francisco Câmara Pereira Filipe Rodrigues AI4TS 51 2 0 25 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs Miryeong Kwon Donghyun Gouk Sangwon Lee Myoungsoo Jung GNN 40 27 0 23 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 126 295 0 21 Jan 2022
Graph Neural Networks for Cross-Camera Data Association Elena Luna Juan C. Sanmiguel Jose M. Martínez Pablo Carballeira 60 21 0 17 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 47 32 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 66 16 0 10 Jan 2022
GLAN: A Graph-based Linear Assignment Network He Liu Tao Wang Congyan Lang Songhe Feng Yi Jin Yidong Li 46 6 0 05 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 89 3 0 04 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 129 2 0 04 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 91 20 0 04 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 95 58 0 31 Dec 2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 129 330 0 30 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zijian Li 70 22 0 30 Dec 2021
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities José Suárez-Varela Paul Almasan Miquel Ferriol Galmés Krzysztof Rusek Fabien Geyer ... Xiang Shi Shihan Xiao F. Scarselli A. Cabellos-Aparicio Pere Barlet-Ros GNN AI4CE 76 60 0 29 Dec 2021
Vision Transformer for Small-Size Datasets Seung Hoon Lee Seunghyun Lee B. Song ViT 92 234 0 27 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 108 105 0 24 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 53 6 0 23 Dec 2021
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks Xiangle Cheng James He Shihan Xiao Yingxue Zhang Zhitang Chen Pascal Poupart Fenglin Li PINN AI4CE 398 0 0 23 Dec 2021
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning Honglu Zhou Advith Chegu Samuel S. Sohn Zuohui Fu Gerard de Melo Mubbasir Kapadia 77 7 0 22 Dec 2021
3D Instance Segmentation of MVS Buildings Jiazhou Chen Yanghui Xu Shufang Lu Ronghua Liang Liangliang Nan ISeg 3DV 63 24 0 18 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 87 32 0 16 Dec 2021
Deep Surrogate for Direct Time Fluid Dynamics Lucas Meyer Louen Pottier Alejandro Ribés Bruno Raffin AI4CE 48 7 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 98 57 0 14 Dec 2021
DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points Zhengfei Kuang Jiaman Li Mingming He Tong Wang Yajie Zhao 71 16 0 13 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 82 9 0 10 Dec 2021
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 67 16 0 07 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 123 214 0 05 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 82 26 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 117 35 0 03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 41 3 0 03 Dec 2021
Graph Conditioned Sparse-Attention for Improved Source Code Understanding Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 59 1 0 01 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 44 4 0 29 Nov 2021
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Salva Rühling Cachay Venkatesh Ramesh J. Cole H. Barker David Rolnick 61 20 0 29 Nov 2021
Learning to Search in Task and Motion Planning with Streams M. Khodeir Ben Agro Florian Shkurti 110 28 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 65 20 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 91 98 0 23 Nov 2021