Title
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 72 74 0 23 Feb 2021
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 61 13 0 23 Feb 2021
Generalized Equivariance and Preferential Labeling for GNN Node Classification Zeyu Sun Wenjie Zhang Lili Mou Qihao Zhu Yingfei Xiong Lu Zhang 111 12 0 23 Feb 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 94 20 0 22 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 Feb 2021
Symbolic regression for scientific discovery: an application to wind speed forecasting Ismail Alaoui Abdellaoui S. Mehrkanoon 73 21 0 21 Feb 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 105 121 0 20 Feb 2021
Knowledge Hypergraph Embedding Meets Relational Algebra Bahare Fatemi Perouz Taslakian David Vazquez David Poole 64 13 0 18 Feb 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking Jiachen Li Hengbo Ma Zhihao Zhang Jinning Li Masayoshi Tomizuka 93 74 0 18 Feb 2021
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation P. Bachiller Daniel Rodriguez-Criado Ronit R. Jorvekar Pablo Bustos Diego Resende Faria Luis J. Manso 129 21 0 17 Feb 2021
Learning Intra-Batch Connections for Deep Metric Learning Jenny Seidenschwarz Ismail Elezi Laura Leal-Taixé FedML 81 54 0 15 Feb 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training Xiao Qin Nasrullah Sheikh B. Reinwald Lingfei Wu 107 32 0 14 Feb 2021
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs Sandra Carrasco David Fernández Llorca Miguel Ángel Sotelo 56 53 0 12 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 135 166 0 09 Feb 2021
Spherical Message Passing for 3D Graph Networks Yi Liu Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 86 207 0 09 Feb 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Zhengyao Jiang Pasquale Minervini Minqi Jiang Tim Rocktaschel AI4CE 26 7 0 08 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 219 146 0 05 Feb 2021
Object and Relation Centric Representations for Push Effect Prediction Ahmet E. Tekden Aykut Erdem Erkut Erdem Tamim Asfour Emre Ugur 65 16 0 03 Feb 2021
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors F. Drielsma K. Terao Laura Dominé D. Koh AI4CE 51 14 0 01 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 160 882 0 28 Jan 2021
$Automatic design of novel potential 3CL$^{\text{pro}}$ and PL$^{\text{pro}}$ inhibitors$ Automatic design of novel potential 3CL $^{\text{pro}}$ and PL $^{\text{pro}}$ inhibitors Timothy James Atkinson Saeed Saremi Faustino J. Gomez Jonathan Masci AI4CE 43 0 0 28 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 71 259 0 25 Jan 2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline Hu Wang Hao Chen Qi Wu Congbo Ma Yidong Li Chunhua Shen 60 13 0 24 Jan 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs Florian Wolf BDL 27 0 0 21 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 193 76 0 21 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 100 53 0 21 Jan 2021
Directed Acyclic Graph Neural Networks Veronika Thost Jie Chen GNN AI4CE 116 109 0 20 Jan 2021
Solving QSAT problems with neural MCTS Ruiyang Xu K. Lieberherr 26 0 0 17 Jan 2021
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks Bingning Wang Ting Yao Weipeng Chen Jingfang Xu Xiaochuan Wang CoGe 70 6 0 16 Jan 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang Yen-Yu Chang Yunyu Liu J. Leskovec Pan Li CML AI4TS 137 244 0 15 Jan 2021
Understanding the Role of Scene Graphs in Visual Question Answering Vinay Damodaran Sharanya Chakravarthy Akshay Kumar Anjana Umapathy Teruko Mitamura Yuta Nakashima Noa Garcia Chenhui Chu GNN 161 33 0 14 Jan 2021
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification Weipeng Jing Xianyang Song Donglin Di Haoze Song GNN 51 10 0 13 Jan 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma Liheng Ma Yingxue Zhang Haolun Wu Xue Liu Mark Coates 107 33 0 13 Jan 2021
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method Jiahui Xu Ling Chen Mingqi Lv Chaoqun Zhan Sanjian Chen Jian Chang AI4CE 55 26 0 12 Jan 2021
A Bayesian neural network predicts the dissolution of compact planetary systems M. Cranmer Daniel Tamayo H. Rein Peter W. Battaglia S. Hadden P. Armitage S. Ho D. Spergel BDL 112 28 0 11 Jan 2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs Dennis Ulmer 53 0 0 03 Jan 2021
Graph Networks with Spectral Message Passing Kimberly L. Stachenfeld Jonathan Godwin Peter W. Battaglia 92 12 0 31 Dec 2020
Relational Deep Reinforcement Learning for Routing in Wireless Networks Victoria Manfredi Alicia P. Wolfe Bing Wang X. Zhang 96 9 0 31 Dec 2020
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions Shaobo Li Xiaoguang Li Lifeng Shang Xin Jiang Qun Liu Chengjie Sun Zhenzhou Ji Bingquan Liu RALM 100 32 0 31 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 50 13 0 28 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 101 18 0 24 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 101 19 0 23 Dec 2020
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 216 251 0 23 Dec 2020
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews Kai Chen M. Niu Qingcai Chen 65 6 0 22 Dec 2020
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator Kevin Denamganai James Alfred Walker 125 11 0 19 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 170 126 0 16 Dec 2020
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task Dmitry Tsarkov Tibor Tihon Nathan Scales Nikola Momchev Danila Sinopalnikov Nathanael Scharli 76 17 0 15 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 92 90 0 14 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 116 144 0 14 Dec 2020
Deep Portfolio Optimization via Distributional Prediction of Residual Factors Kentaro Imajo Kentaro Minami Katsuya Ito Kei Nakagawa OOD AIFin 44 27 0 14 Dec 2020