Title
Composing Partial Differential Equations with Physics-Aware Neural Networks Matthias Karlbauer T. Praditia S. Otte S. Oladyshkin Wolfgang Nowak Martin Volker Butz AI4CE 92 20 0 23 Nov 2021
Physics-enhanced Neural Networks in the Small Data Regime Jonas Eichelsdörfer Sebastian Kaltenbach P. Koutsourelakis AI4CE PINN 42 5 0 19 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 105 172 0 18 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation A. Haeri K. Skonieczny AI4CE 101 2 0 18 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 36 9 0 17 Nov 2021
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations Zijian Li Ruichu Cai Fengzhu Wu Siliang Zhang Hao Gu Yuexing Hao Yuguang Yan 44 4 0 14 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 59 45 0 14 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 88 142 0 11 Nov 2021
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction Arnav V. Malawade S. Yu Brandon Hsu Deepan Muthirayan Pramod P. Khargonekar Mohammad Abdullah Al Faruque 129 59 0 11 Nov 2021
A Survey of Visual Transformers Yang Liu Yao Zhang Yixin Wang Feng Hou Jin Yuan Jiang Tian Yang Zhang Zhongchao Shi Jianping Fan Zhiqiang He 3DGS ViT 189 356 0 11 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems Dohae Lee Young-Jin Oh In-Kwon Lee BDL 55 1 0 10 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev Andrew Jaegle Peter Wirnsberger Daniel Hennes I. Higgins AI4CE 119 28 0 09 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 100 64 0 09 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 48 1 0 08 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 138 120 0 07 Nov 2021
Manipulation of Granular Materials by Learning Particle Interactions Neea Tuomainen David Blanco Mulero Ville Kyrki 102 20 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 63 98 0 02 Nov 2021
Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 86 44 0 01 Nov 2021
Learning Iterative Robust Transformation Synchronization Zi Jian Yew G. Lee 136 18 0 01 Nov 2021
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation Hanz Cuevas-Velasquez Antonio Javier Gallego Robert B. Fisher 3DPC 42 1 0 30 Oct 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 53 20 0 29 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 149 361 0 27 Oct 2021
Learning Graph Cellular Automata Daniele Grattarola L. Livi Cesare Alippi GNN 67 31 0 27 Oct 2021
How to transfer algorithmic reasoning knowledge to learn new algorithms? Louis-Pascal Xhonneux Andreea Deac Petar Velickovic Jian Tang 81 27 0 26 Oct 2021
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks Wenxi Wang Yang Hu Mohit Tiwari S. Khurshid K. McMillan Risto Miikkulainen GNN NAI 72 8 0 26 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping Gayan K. Kulatilleke Marius Portmann Ryan K. L. Ko Shekhar S. Chandra 103 9 0 21 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 148 162 0 14 Oct 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels Chu Han Jiatai Lin Jinhai Mai Yi Wang Qingling Zhang ... Zeyan Xu Xiaomei Huang Guoqiang Han Chang-xiu Liang Zaiyi Liu 102 99 0 14 Oct 2021
Object-Region Video Transformers Roei Herzig Elad Ben-Avraham K. Mangalam Amir Bar Gal Chechik Anna Rohrbach Trevor Darrell Amir Globerson ViT 95 84 0 13 Oct 2021
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 92 27 0 12 Oct 2021
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos Zongmeng Zhang Xianjing Han Xuemeng Song Yan Yan Liqiang Nie 118 37 0 12 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 459 95 0 11 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 69 6 0 07 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 120 244 0 06 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers Wenbin Ouyang Yisen Wang Shaochen Han Zhejian Jin Paul Weng LRM 62 11 0 06 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 148 35 0 05 Oct 2021
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 63 100 0 05 Oct 2021
Scaling Graph-based Deep Learning models to larger networks Miquel Ferriol Galmés José Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 74 8 0 04 Oct 2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators Clement Gehring Masataro Asai Rohan Chitnis Tom Silver L. Kaelbling Shirin Sohrabi Michael Katz OffRL 84 38 0 30 Sep 2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy Tianshu Wang P. Melchior 91 7 0 27 Sep 2021
Learning Transport Processes with Machine Intelligence F. Miniati G. Gregori AI4CE 60 4 0 27 Sep 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 63 19 0 16 Sep 2021
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems David Pujol-Perich José Suárez-Varela Miquel Ferriol Shihan Xiao Bo-Xi Wu A. Cabellos-Aparicio Pere Barlet-Ros GNN AI4CE 120 18 0 14 Sep 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 105 115 0 12 Sep 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 82 36 0 12 Sep 2021
GNisi: A graph network for reconstructing Ising models from multivariate binarized data E. Slade Sonya Kiselgof L. Granovsky Jeremy L. England 21 0 0 09 Sep 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 83 61 0 07 Sep 2021
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms Rui Fan Hengli Wang Yuan Wang Ming-Yuan Liu Ioannis Pitas 64 66 0 06 Sep 2021
Is Machine Learning Ready for Traffic Engineering Optimization? Guillermo Bernárdez José Suárez-Varela Albert Lopez Bo-Xi Wu Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 99 48 0 03 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs Arnav V. Malawade S. Yu Brandon Hsu Harsimrat Kaeley Anurag Karra Mohammad Abdullah Al Faruque GNN 91 29 0 02 Sep 2021