Title
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang Carola-Bibiane Schönlieb Angelica E. Avilés-Rivero 81 8 0 05 Feb 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei Shuai Fu Weisen Jiang Zejian Zhang Zhixiong Zeng Qi Wu James T. Kwok Yu Zhang 82 16 0 03 Feb 2024
Ultrafast jet classification on FPGAs for the HL-LHC Patrick Odagiu Zhiqiang Que Javier Mauricio Duarte J. Haller Gregor Kasieczka ... Arpita Seksaria S. Summers A. Sznajder A. Tapper Thea Klæboe Årrestad 55 3 0 02 Feb 2024
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation Jiachen Li Chuanbo Hua Hengbo Ma Jinkyoo Park Victoria M. Dax Mykel J. Kochenderfer 139 10 0 22 Jan 2024
Scaling Face Interaction Graph Networks to Real World Scenes Tatiana López-Guevara Yulia Rubanova William F. Whitney Tobias Pfaff Kimberly L. Stachenfeld Kelsey R. Allen AI4CE GNN 3DH 103 4 0 22 Jan 2024
Inverse analysis of granular flows using differentiable graph neural network simulator Yongjin Choi Krishna Kumar AI4CE 59 6 0 17 Jan 2024
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study Sadman Sadeed Omee Nihang Fu Rongzhi Dong Ming Hu Jianjun Hu OOD 88 20 0 16 Jan 2024
The two-way knowledge interaction interface between humans and neural networks Zhanliang He Nuoye Xiong Hongsheng Li Peiyi Shen Guangming Zhu Liang Zhang HAI 42 1 0 10 Jan 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values Selahattin Akkas Ariful Azad FAtt 112 3 0 09 Jan 2024
Slot Structured World Models Jonathan Collu Riccardo Majellaro Aske Plaat Thomas M. Moerland OCL 67 2 0 08 Jan 2024
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes Massinissa Hamidi A. Osmani 74 0 0 31 Dec 2023
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 298 3 0 28 Dec 2023
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 86 2 0 26 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz Mustafa Hajij 90 8 0 19 Dec 2023
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection Xinghao Zhu Devesh K. Jha Diego Romeres Lingfeng Sun Masayoshi Tomizuka Anoop Cherian 73 6 0 17 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning Qihang Ai Jianwu Zhou Haiyun Jiang Lemao Liu Shuming Shi 28 1 0 16 Dec 2023
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction Leon Mlodzian Zhigang Sun Hendrik Berkemeyer Sebastian Monka Zixu Wang Stefan Dietze Lavdim Halilaj J. Luettin 59 6 0 15 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
Detecting Contextual Network Anomalies with Graph Neural Networks Hamid Latif José Suárez-Varela A. Cabellos-Aparicio Pere Barlet-Ros AI4TS 44 2 0 11 Dec 2023
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 64 13 0 08 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 112 39 0 07 Dec 2023
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion Thomas Feys L. V. D. Perre Franccois Rottenberg 41 1 0 05 Dec 2023
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez H. Dacre Simon Driscoll Suzanne L. Gray Ben Harvey ... Kieran M. R. Hunt Robert W. Lee Ranjini Swaminathan R. Vandaele Ambrogio Volonté AI4Cl 109 30 0 05 Dec 2023
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 68 2 0 03 Dec 2023
PerCNet: Periodic Complete Representation for Crystal Graphs Jiao Huang Qianli Xing Jinglong Ji Bo Yang 75 1 0 03 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design Tom McDonald Calvin Tsay Artur M. Schweidtmann Neil Yorke-Smith 94 15 0 02 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 116 8 0 30 Nov 2023
GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks Zizhang Chen R. P. Badman Lachele Foley Robert Woods Pengyu Hong 68 0 0 28 Nov 2023
Compositional Chain-of-Thought Prompting for Large Multimodal Models Chancharik Mitra Brandon Huang Trevor Darrell Roei Herzig MLLM LRM 113 98 0 27 Nov 2023
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation Jiachen Li David Isele Kanghoon Lee Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 96 8 0 27 Nov 2023
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Lorenzo Mario Amorosa Marco Skocaj Roberto Verdone Deniz Gündüz AI4CE 58 2 0 27 Nov 2023
GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing Abhinav Raghuvanshi K. Malleshappa AI4CE GNN 46 0 0 26 Nov 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lio Nikola Simidjievski 78 1 0 25 Nov 2023
Variational Annealing on Graphs for Combinatorial Optimization Sebastian Sanokowski Wilhelm Berghammer Sepp Hochreiter Sebastian Lehner 93 16 0 23 Nov 2023
Learning to Optimise Wind Farms with Graph Transformers Siyi Li Arnaud Robert A. A. Faisal M. Piggott 45 5 0 21 Nov 2023
Stoichiometry Representation Learning with Polymorphic Crystal Structures Namkyeong Lee Heewoong Noh Gyoung S. Na Tianfan Fu Jimeng Sun Chanyoung Park 52 0 0 17 Nov 2023
A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit Sai Surya Duvvuri Rohan Anil Vineet Gupta Cho-Jui Hsieh Inderjit Dhillon 50 0 0 16 Nov 2023
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes P. Srivatsa Thomas Plötz GNN 50 2 0 16 Nov 2023
Three-dimensional granular flow simulation using graph neural network-based learned simulator Yongjin Choi Krishna Kumar AI4CE 56 0 0 13 Nov 2023
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version) Xiao Li Huan Li Hua Lu Christian S. Jensen Varun Pandey Volker Markl 36 6 0 13 Nov 2023
Attention for Causal Relationship Discovery from Biological Neural Dynamics Ziyu Lu Anika Tabassum Shruti R. Kulkarni Lu Mi J. Nathan Kutz Eric Shea-Brown Seung-Hwan Lim CML 61 2 0 12 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 86 0 0 09 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 91 9 0 08 Nov 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 62 1 0 05 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs Yeyuan Chen Dingmin Wang 57 1 0 03 Nov 2023
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets Andrea Roncoli A. Ćiprijanović M. Voetberg F. Villaescusa-Navarro Brian D. Nord AI4CE OOD 92 7 0 02 Nov 2023
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Runa Eschenhagen Alexander Immer Richard Turner Frank Schneider Philipp Hennig 135 24 0 01 Nov 2023
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design Heng Dong Junyu Zhang Chongjie Zhang 93 3 0 01 Nov 2023
Interpretable Neural PDE Solvers using Symbolic Frameworks Yolanne Yi Ran Lee AI4CE 76 0 0 31 Oct 2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics Stefan Künzli Florian Grötschla Joël Mathys Roger Wattenhofer AI4CE 108 0 0 30 Oct 2023