How Attentive are Graph Attention Networks?

30 May 2021

Papers citing "How Attentive are Graph Attention Networks?"

50 / 458 papers shown

Title
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision P. F. Pimenta Pedro H. C. Avelar Luís C. Lamb 25 1 0 19 Apr 2023
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics Alexander Naumann Felix Hertlein Laura Dörr K. Furmans 18 7 0 18 Apr 2023
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients Ángel Víctor Juanco-Müller João F. C. Mota K. Goatman C. Hoogendoorn 32 1 0 17 Apr 2023
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction Guoxiu He Zhi Xue Zhuoren Jiang Yangyang Kang Star X. Zhao Wei Lu 24 10 0 16 Apr 2023
An innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction Mayank Ratan Bhardwaj J. Pawar Abhijnya Bhat Deepanshu Inavamsi Enaganti K. Sagar Y. N. D. O. C. Science 13 5 0 15 Apr 2023
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction Theodor Westny Joel Oskarsson Björn Olofsson Erik Frisk 33 10 0 11 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 19 24 0 06 Apr 2023
Low-Shot Learning for Fictional Claim Verification Viswanath Chadalapaka Derek Nguyen Joonwon Choi Shaunak Joshi Mohammad Rostami 16 1 0 05 Apr 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 25 4 0 29 Mar 2023
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution Rui Luo Vikram Krishnamurthy 24 1 0 29 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern H. Menze GNN 29 7 0 25 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 26 3 0 25 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 15 1 0 23 Mar 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning Chao Chen Haoyu Geng Nianzu Yang Xiaokang Yang Junchi Yan 27 8 0 22 Mar 2023
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning Matan Atad Jianxiang Feng Ismael Rodríguez M. Durner Rudolph Triebel 22 8 0 17 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
Spacecraft Anomaly Detection with Attention Temporal Convolution Network Liang Liu Ling Tian Zhao Kang Tianqi Wan AI4TS 33 28 0 13 Mar 2023
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension Shima Foolad Kourosh Kiani 19 3 0 12 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 47 3 0 01 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 28 5 0 28 Feb 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 31 192 0 22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 42 56 0 22 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 24 2 0 07 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction Davide Costa Lucio La Cava Andrea Tagarelli 26 22 0 03 Feb 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang Aaron Ferber Yuandong Tian B. Dilkina Benoit Steiner 47 22 0 03 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 43 9 0 02 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 35 16 0 02 Feb 2023
Disentanglement of Latent Representations via Causal Interventions Gael Gendron Michael Witbrock Gillian Dobbie OOD CML CoGe 23 2 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
Holistic Graph-based Motion Prediction Daniel Grimm Philip Schorner M. Dressler J. -Marius Zöllner 26 13 0 31 Jan 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks Antoine Louis Gijs van Dijck Gerasimos Spanakis AILaw 23 9 0 30 Jan 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong-Son Hy Rose Yu Yusu Wang 41 51 0 27 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval Manh-Duy Nguyen Binh T. Nguyen C. Gurrin VLM 28 4 0 11 Jan 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction Youwei Liang Kevin R. Stone A. Shameli Chris Cummins Mostafa Elhoushi ... Benoit Steiner Xiaomeng Yang P. Xie Hugh Leather Yuandong Tian 14 10 0 09 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 19 2 0 07 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 26 15 0 05 Jan 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning Lu Jiang Yibin Wang Jianan Wang Pengyang Wang Minghao Yin 13 2 0 01 Jan 2023
Where To Start? Transferring Simple Skills to Complex Environments Vitalis Vosylius Edward Johns 24 12 0 12 Dec 2022
Graph algorithms for predicting subcellular localization at the pathway level Chris S. Magnano A. Gitter GNN 16 5 0 12 Dec 2022
Face Forgery Detection Based on Facial Region Displacement Trajectory Series Yuyang Sun Zhiyong Zhang Isao Echizen H. Nguyen Changzhen Qiu Lu Sun CVBM 29 14 0 07 Dec 2022
Dynamic Graph Node Classification via Time Augmentation Jiarui Sun Mengting Gu Chin-Chia Michael Yeh Yujie Fan Girish Chowdhary Wei Zhang 26 1 0 07 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes Wei Duan Junyu Xuan Maoying Qiao Jie Lu 31 8 0 05 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 30 0 0 29 Nov 2022
SI-GAT: A method based on improved Graph Attention Network for sonar image classification Can Lei Huigang Wang Juan Lei 29 1 0 28 Nov 2022
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 40 19 0 26 Nov 2022
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 26 8 0 23 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 24 10 0 21 Nov 2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks Andreas Roth Thomas Liebig AI4TS AI4CE 27 10 0 21 Nov 2022