Title
PerCNet: Periodic Complete Representation for Crystal Graphs Jiao Huang Qianli Xing Jinglong Ji Bo Yang 34 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 66 14 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 35 6 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 40 0 0 28 Nov 2023
Compositional Chain-of-Thought Prompting for Large Multimodal Models Chancharik Mitra Brandon Huang Trevor Darrell Roei Herzig MLLM LRM 39 80 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 34 7 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 21 1 0 27 Nov 2023
GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing Abhinav Raghuvanshi K. Malleshappa AI4CE GNN 29 0 0 26 Nov 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 44 1 0 25 Nov 2023
Variational Annealing on Graphs for Combinatorial Optimization Sebastian Sanokowski Wilhelm Berghammer Sepp Hochreiter Sebastian Lehner 56 13 0 23 Nov 2023
Learning to Optimise Wind Farms with Graph Transformers Siyi Li Arnaud Robert A. A. Faisal M. Piggott 29 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 17 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 21 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 30 2 0 16 Nov 2023
Three-dimensional granular flow simulation using graph neural network-based learned simulator Yongjin Choi Krishna Kumar AI4CE 30 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 17 5 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 21 2 0 12 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 27 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 23 9 0 08 Nov 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 14 1 0 05 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs Yeyuan Chen Dingmin Wang 21 0 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 21 5 0 02 Nov 2023
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Runa Eschenhagen Alexander Immer Richard Turner Frank Schneider Philipp Hennig 53 21 0 01 Nov 2023
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design Heng Dong Junyu Zhang Chongjie Zhang 35 2 0 01 Nov 2023
Interpretable Neural PDE Solvers using Symbolic Frameworks Yolanne Yi Ran Lee AI4CE 32 0 0 31 Oct 2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics Stefan Künzli Florian Grötschla Joël Mathys Roger Wattenhofer AI4CE 26 0 0 30 Oct 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park Lawson L. S. Wong Robin Walters AI4CE 13 0 0 30 Oct 2023
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time? Kyung Geun Kim Byeong Tak Lee AI4TS 19 0 0 29 Oct 2023
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach Phillip Pope David Jacobs 24 3 0 28 Oct 2023
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese Khiem Vinh Tran Hao Phu Phan Kiet Van Nguyen Ngan Luu-Thuy Nguyen 26 5 0 27 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 35 0 0 26 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer Namkyeong Lee Heewoong Noh Sungwon Kim Dongmin Hyun Gyoung S. Na Chanyoung Park 21 5 0 24 Oct 2023
Graph Neural Networks and Applied Linear Algebra Nicholas S. Moore Eric C. Cyr Peter Ohm C. Siefert R. Tuminaro 24 4 0 21 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 33 3 0 20 Oct 2023
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries M. Chenaud José Alves Frédéric Magoulès AI4CE PINN 26 1 0 20 Oct 2023
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction Aditya Gupta Asheesh Singh 27 4 0 19 Oct 2023
Building a Graph-based Deep Learning network model from captured traffic traces Carlos Güemes-Palau Miquel Ferriol Galmés A. Cabellos-Aparicio Pere Barlet-Ros GNN 26 2 0 18 Oct 2023
Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios Qiping Zhang Nathan Tsoi Booyeon Choi Jie Tan Hao-Tien Lewis Chiang Marynel Vázquez 13 0 0 17 Oct 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 33 1 0 17 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 32 5 0 16 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 0 13 Oct 2023
Relational Prior Knowledge Graphs for Detection and Instance Segmentation Osman Ülger Yu Wang Ysbrand Galama Sezer Karaoglu Theo Gevers Martin R. Oswald 26 1 0 11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems Shiqing Liu Xueming Yan Yaochu Jin 44 8 0 10 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 26 1 0 09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation Doyup Lee Chiheon Kim Minsu Cho Wook-Shin Han 35 12 0 09 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 32 17 0 09 Oct 2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets Dominique Beaini Shenyang Huang Joao Alex Cunha Zhiyi Li Gabriela Moisescu-Pareja ... Thérence Bois Andrew Fitzgibbon Bla.zej Banaszewski Chad Martin Dominic Masters AI4CE 28 19 0 06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs T. Lucas Makinen Justin Alsing Benjamin Dan Wandelt GNN FedML 24 3 0 05 Oct 2023