Title
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Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 70 2 0 03 Jan 2025
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 25 0 0 27 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 35 3 0 17 Sep 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation Xiaowei Mao Yan Lin Shengnan Guo Yubin Chen Xingyu Xian Haomin Wen Qisen Xu Youfang Lin Huaiyu Wan 44 1 0 23 Aug 2024
Link Representation Learning for Probabilistic Travel Time Estimation Chen Xu Qiang Wang Lijun Sun AI4TS 29 0 0 08 Jul 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 42 3 0 29 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 39 1 0 24 May 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 0 27 Mar 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks Ping Liu Haichao Wei Xiaochen Hou Jianqiang Shen Shihai He ... Liang Wu S. Veeraraghavan Alex Tsun Chen-Chen Jiang Wenjing Zhang 30 2 0 20 Feb 2024
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction Raphael Chekroun Han Wang Jonathan W. Lee Marin Toromanoff Sascha Hornauer Fabien Moutarde M. D. Monache 28 0 0 08 Feb 2024
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem Stefan Schoepf Stephen Mak J. Senoner Liming Xu Netland Torbjorn Alexandra Brintrup 16 0 0 22 Jul 2023
Towards eXplainable AI for Mobility Data Science Anahid N. Jalali Anita Graser Clemens Heistracher 14 2 0 17 Jul 2023
Evolving Computation Graphs Andreea Deac Jian Tang 22 1 0 22 Jun 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 9 13 0 22 May 2023
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction Marion Neumeier Andreas Tollkühn M. Botsch Wolfgang Utschick 22 5 0 12 May 2023
E(n) Equivariant Message Passing Simplicial Networks Floor Eijkelboom Rob D. Hesselink Erik J. Bekkers 22 14 0 11 May 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 36 7 0 29 Mar 2023
Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors M. Neun Christian Eichenberger Henry Martin M. Spanring Rahul Siripurapu ... Kevin Malm Fei Tang Michael K Kopp David P. Kreil Sepp Hochreiter 29 7 0 14 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation Y. Li Mingzhou Yang Matthew J. Eagon Majid Farhadloo Yiqun Xie W. Northrop Shashi Shekhar University of Minnesota 20 5 0 13 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 47 88 0 27 Dec 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 61 0 07 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models F. Liu Haowen Liu Wenzhao Jiang OOD 64 33 0 05 Oct 2022
Public Transit Arrival Prediction: a Seq2Seq RNN Approach Nancy Bhutani Soumen Pachal Avinash Achar AI4TS 21 0 0 04 Oct 2022
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A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 20 14 0 08 Aug 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 34 14 0 01 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes Christian Eichenberger M. Neun Henry Martin Pedro Herruzo M. Spanring ... Fei Tang A. Gruca Michael K Kopp David P. Kreil Sepp Hochreiter 48 19 0 31 Mar 2022
Relating Graph Neural Networks to Structural Causal Models Matej Zečević Devendra Singh Dhami Petar Velickovic Kristian Kersting AI4CE CML 63 53 0 09 Sep 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 217 0 12 Feb 2021
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