Title
Using Memory-Based Learning to Solve Tasks with State-Action Constraints Mrinal Verghese C. Atkeson OffRL CLL 30 2 0 08 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 37 3 0 07 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 33 14 0 07 Mar 2023
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning H. Hashemi Nikolai Hartmann Sahand Sharifzadeh James Kahn T. Kuhr 26 4 0 07 Mar 2023
Graph Decision Transformer Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 36 15 0 07 Mar 2023
Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes M. Ross Markus Heinonen 18 2 0 03 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 76 80 0 02 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks Yang Li Yuichi Tanaka 3DPC 26 0 0 02 Mar 2023
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms O. Kundacina Gorana Gojić Milena Mitrović D. Mišković D. Vukobratović 30 0 0 01 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 28 11 0 27 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 33 8 0 27 Feb 2023
Contrastive Video Question Answering via Video Graph Transformer Junbin Xiao Pan Zhou Angela Yao Yicong Li Richang Hong Shuicheng Yan Tat-Seng Chua ViT 27 35 0 27 Feb 2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning Ryan Kortvelesy Steven D. Morad Amanda Prorok AI4CE 27 2 0 24 Feb 2023
Grounding Graph Network Simulators using Physical Sensor Observations Jonas Linkerhägner Niklas Freymuth Paul Maria Scheikl F. Mathis-Ullrich Gerhard Neumann AI4CE 32 11 0 23 Feb 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 28 4 0 21 Feb 2023
Learning Language Representations with Logical Inductive Bias Jianshu Chen NAI AI4CE LRM 34 2 0 19 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 22 2 0 17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 18 1 0 17 Feb 2023
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers Steeven Janny Aurélien Béneteau Madiha Nadri Wolf Julie Digne Nicolas Thome Christian Wolf AI4CE 79 32 0 16 Feb 2023
Understanding Oversquashing in GNNs through the Lens of Effective Resistance Mitchell Black Zhengchao Wan A. Nayyeri Yusu Wang 32 64 0 14 Feb 2023
EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment Yuanqing Wang Iván Pulido Kenichiro Takaba Benjamin Kaminow Jenke Scheen Lily Wang J. Chodera 34 17 0 14 Feb 2023
Geometric Clifford Algebra Networks David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 35 33 0 13 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 27 22 0 13 Feb 2023
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions Vladimir Feinberg Xinyi Chen Y. Jennifer Sun Rohan Anil Elad Hazan 29 12 0 07 Feb 2023
Multi-Scale Message Passing Neural PDE Solvers Léonard Equer T. Konstantin Rusch Siddhartha Mishra AI4CE 38 12 0 07 Feb 2023
Explainable Action Prediction through Self-Supervision on Scene Graphs Pawit Kochakarn D. Martini Daniel Omeiza Lars Kunze SSL 24 9 0 07 Feb 2023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander ... D. Beker Andrew Fitzgibbon Shenyang Huang Ladislav Rampášek Dominique Beaini 38 8 0 06 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering Ruofan Wu Boqun Ma Hong Jin Wenlong Zhao Weiqiang Wang Tianyi Zhang 19 143 0 04 Feb 2023
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric Eivind Meyer Maurice Brenner Bowen Zhang Max Schickert Bilal Musani Matthias Althoff GNN 27 10 0 02 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs Theodor Westny Joel Oskarsson Björn Olofsson Erik Frisk 42 32 0 01 Feb 2023
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design Jian Cheng Wong C. Ooi Joyjit Chattoraj Lucas Lestandi Guoying Dong Umesh Kizhakkinan D. W. Rosen M. Jhon M. Dao AI4CE PINN 21 9 0 01 Feb 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 27 35 0 31 Jan 2023
Zero-One Laws of Graph Neural Networks Sam Adam-Day Theodor-Mihai Iliant .Ismail .Ilkan Ceylan GNN AI4CE 29 3 0 30 Jan 2023
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes Vaibhav Bihani S. Manchanda Srikanth Sastry Sayan Ranu N. M. A. Krishnan GNN OffRL AI4CE 34 4 0 29 Jan 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer Zhaoyang Chen Lina Siltala-Li Mikko Lassila Pekka Malo Eeva Vilkkumaa T. Saaresranta A. Virkki 24 4 0 28 Jan 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong-Son Hy Rose Yu Yusu Wang 41 52 0 27 Jan 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Marco Skocaj Pedro Enrique Iturria-Rivera Roberto Verdone Melike Erol-Kantarci 40 1 0 27 Jan 2023
PhysGraph: Physics-Based Integration Using Graph Neural Networks Oshri Halimi E.T Larionov Zohar Barzelay Philipp Herholz Tuur Stuyck PINN OOD AI4CE 30 3 0 27 Jan 2023
Convolutional Learning on Simplicial Complexes Maosheng Yang Elvin Isufi 24 19 0 26 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 38 15 0 21 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research Fabian Eitel Marc-Andre Schulz Moritz Seiler Henrik Walter K. Ritter AI4CE 19 42 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 32 7 0 18 Jan 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets E. Buhmann Gregor Kasieczka Jesse Thaler 3DPC 33 46 0 17 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 40 10 0 14 Jan 2023
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms Chen Zhao Zhihui Xu Jingfeng Jiang Michele Esposito Drew Pienta Guang-Uei Hung Weihua Zhou 13 9 0 11 Jan 2023
Adaptively Clustering Neighbor Elements for Image-Text Generation Zihua Wang Xu Yang Hanwang Zhang Haiyang Xu Mingshi Yan Feisi Huang Yu Zhang VLM 88 0 0 05 Jan 2023
Deep Statistical Solver for Distribution System State Estimation Benjamin Habib Elvin Isufi Ward van Breda A. Jongepier J. Cremer 26 18 0 04 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 53 11 0 30 Dec 2022