Title
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 73 0 0 21 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 80 4 0 21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt Margret Keuper GNN AI4CE 106 12 0 19 Oct 2020
Neuralizing Efficient Higher-order Belief Propagation Mohammed Haroon Dupty W. Lee 50 7 0 19 Oct 2020
Generalizable Machine Learning in Neuroscience using Graph Neural Networks Paul Yung-Pou Wang Sandalika Sapra V. George Gabriel A. Silva GNN AI4CE 39 14 0 16 Oct 2020
Scalable Graph Networks for Particle Simulations Karolis Martinkus Aurelien Lucchi Nathanael Perraudin AI4CE 71 11 0 14 Oct 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) Alex Warstadt Yian Zhang Haau-Sing Li Haokun Liu Samuel R. Bowman SSL AI4CE 78 21 0 11 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis FedML GNN 71 250 0 11 Oct 2020
Unsupervised Joint $k$ -node Graph Representations with Compositional Energy-Based Models Leonardo Cotta Carlos H. C. Teixeira A. Swami Bruno Ribeiro SSL 72 9 0 08 Oct 2020
Hierarchical Relational Inference Aleksandar Stanić Sjoerd van Steenkiste Jürgen Schmidhuber OCL 84 15 0 07 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 115 809 0 07 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan Cohen Nathaniel D. Daw Thomas Griffiths OffRL 72 2 0 05 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 118 81 0 05 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 104 92 0 05 Oct 2020
End-to-End Differentiable Molecular Mechanics Force Field Construction Yuanqing Wang Josh Fass Benjamin Kaminow John E. Herr Dominic Rufa Ivy Zhang Iván Pulido Mike Henry J. Chodera 96 25 0 02 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 120 227 0 02 Oct 2020
AI Centered on Scene Fitting and Dynamic Cognitive Network Feng Chen 15 0 0 02 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 104 77 0 02 Oct 2020
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 108 49 0 01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 152 230 0 30 Sep 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 82 135 0 29 Sep 2020
Message Passing Neural Processes Ben Day Cătălina Cangea Arian R. Jamasb Pietro Lio 75 12 0 29 Sep 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks Douglas De Rizzo Meneghetti Reinaldo A. C. Bianchi 43 9 0 28 Sep 2020
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition Jaromír Janisch Tomávs Pevný Viliam Lisý AI4CE 88 3 0 25 Sep 2020
A physics-informed operator regression framework for extracting data-driven continuum models Ravi G. Patel N. Trask M. Wood E. Cyr AI4CE 88 105 0 25 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 184 313 0 24 Sep 2020
Latent State Inference in a Spatiotemporal Generative Model Matthias Karlbauer Tobias Menge S. Otte Hendrik P. A. Lensch Thomas Scholten V. Wulfmeyer Martin Volker Butz 45 1 0 21 Sep 2020
Inferring, Predicting, and Denoising Causal Wave Dynamics Matthias Karlbauer S. Otte Hendrik P. A. Lensch Thomas Scholten V. Wulfmeyer Martin Volker Butz 39 3 0 19 Sep 2020
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks Iulia Duta Andrei Liviu Nicolicioiu Marius Leordeanu 70 6 0 17 Sep 2020
Graph representation forecasting of patient's medical conditions: towards a digital twin Pietro Barbiero Ramon Vinas Torné Pietro Lio AI4CE 56 12 0 17 Sep 2020
Answering Any-hop Open-domain Questions with Iterative Document Reranking Ping Nie Yuyu Zhang Arun Ramamurthy Le Song 70 20 0 16 Sep 2020
The Hardware Lottery Sara Hooker 96 213 0 14 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 95 10 0 14 Sep 2020
Advanced Graph-Based Deep Learning for Probabilistic Type Inference Fangke Ye Jisheng Zhao Vivek Sarkar BDL GNN 21 3 0 13 Sep 2020
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks Tom Silver Rohan Chitnis Aidan Curtis J. Tenenbaum Tomas Lozano-Perez L. Kaelbling GNN 93 80 0 11 Sep 2020
A Toolkit to Generate Social Navigation Datasets Rishabh Baghel Aditya Kapoor P. Bachiller Ronit R. Jorvekar Daniel Rodriguez-Criado Luis J. Manso 75 10 0 11 Sep 2020
Map-Adaptive Goal-Based Trajectory Prediction Lingyao Zhang PoHao Su Jerrick Hoang G. C. Haynes Micol Marchetti-Bowick 93 56 0 09 Sep 2020
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning Mohammed Sharafath Abdul Hameed Andreas Schwung 21 24 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 120 803 0 08 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 68 2 0 05 Sep 2020
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 90 495 0 03 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 101 12 0 31 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 65 13 0 28 Aug 2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey Kyungeun Lee Moonjung Eo Euna Jung Yoonjin Yoon Wonjong Rhee GNN AI4TS 70 52 0 28 Aug 2020
Decoupled Variational Embedding for Signed Directed Networks Xu Chen Jiangchao Yao Maosen Li Ya Zhang Yanfeng Wang 66 4 0 28 Aug 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 73 53 0 26 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang GNN 114 81 0 26 Aug 2020
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning Steven L. Brunton J. Nathan Kutz Krithika Manohar Aleksandr Aravkin K. Morgansen ... J. Buttrick Jeffrey Poskin Agnes Blom-Schieber Thomas Hogan Darren McDonald AI4CE 68 131 0 24 Aug 2020
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 198 115 0 24 Aug 2020