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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 85 3 0 15 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 99 16 0 14 Jun 2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation Likang Wu Zhi Li Hongke Zhao Zhe-Feng Wang Qi Liu Baoxing Huai N. Yuan Enhong Chen 64 8 0 14 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 47 1 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 68 229 0 14 Jun 2023
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks Mridul Gupta H. Kodamana Sayan Ranu AI4TS 71 18 0 14 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 70 0 0 14 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 60 0 0 14 Jun 2023
Learning on Graphs under Label Noise Jingyang Yuan Xiao Luo Yifang Qin Yusheng Zhao Wei Ju Ming Zhang NoLa 78 22 0 14 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 102 5 0 14 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 89 14 0 13 Jun 2023
Efficient 3D Semantic Segmentation with Superpoint Transformer Damien Robert Hugo Raguet Loic Landrieu ViT 125 57 0 13 Jun 2023
Inferring dynamic regulatory interaction graphs from time series data with perturbations Dhananjay Bhaskar Sumner Magruder E. Brouwer Aarthi Venkat Frederik Wenkel Guy Wolf Smita Krishnaswamy 57 5 0 13 Jun 2023
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning Yu Wang Jing-jing Zhang Junru Jin Leyi Wei 63 2 0 13 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 52 0 0 13 Jun 2023
NFTs to MARS: Multi-Attention Recommender System for NFTs Seonmi Kim Youngbin Lee Yejin Kim J. Hong Yongjae Lee 34 0 0 13 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs Haozhen Zhang Xueting Han Xi Xiao Jing Bai 96 9 0 13 Jun 2023
Lookaround Optimizer: $k$ steps around, 1 step average Jiangtao Zhang Shunyu Liu Mingli Song Tongtian Zhu Zhenxing Xu Mingli Song MoMe 105 6 0 13 Jun 2023
Hyperbolic Graph Diffusion Model Lingfeng Wen Xuan Tang Mingjie Ouyang Xiangxiang Shen Jian Yang Daxin Zhu Mingsong Chen Xian Wei 90 4 0 13 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 77 34 0 13 Jun 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Louis Serrano Lise Le Boudec Armand K. Koupai Thomas X. Wang Yuan Yin Jean-Noel Vittaut Patrick Gallinari AI4CE 93 42 0 12 Jun 2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection Xiwei Xu Xin Chen Shuo Yu Mingliang Hou Mujie Liu Linlin You AI4TS 58 15 0 12 Jun 2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types Xinjie Wen Cuiyun Gao Feng Luo Hao Wang Ge Li Qing Liao 77 10 0 12 Jun 2023
Localised Adaptive Spatial-Temporal Graph Neural Network Wenying Duan Xiaoxi He Zimu Zhou Lothar Thiele Hong Rao 60 17 0 12 Jun 2023
A Graph Transformer-Driven Approach for Network Robustness Learning Yu Zhang Jia Li Jie Ding Xiang Li OOD AAML OffRL 25 4 0 12 Jun 2023
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling Hao Sun Yongqian Li Li Deng Bowen Li Binyuan Hui Binhua Li Yunshi Lan Yan Zhang Yongbin Li 113 5 0 12 Jun 2023
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks S. B. Rabbani Manar D. Samad CML GNN 49 2 0 11 Jun 2023
Finding Hamiltonian cycles with graph neural networks Filip Bosnić M. Šikić 64 1 0 10 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Wei Liu Xiyan Fu Michael Strube GNN 60 3 0 10 Jun 2023
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning Ke Guo Wei Jing Lingping Gao Weiwei Liu Weizi Li Jia Pan AI4CE 56 4 0 10 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 61 2 0 10 Jun 2023
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks Pablo Soldati E. Ghadimi Burak Demirel Yu Wang Raimundas Gaigalas Mathias Sintorn 34 3 0 09 Jun 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu Rohan Chandra Tianrui Guan Amrit Singh Bedi Tianyi Zhou 114 5 0 09 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Hanyu Wang Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 84 27 0 09 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 98 43 0 09 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 95 31 0 09 Jun 2023
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data Andrzej Dulny Andreas Hotho Anna Krause AI4CE 61 7 0 09 Jun 2023
Simplicial Message Passing for Chemical Property Prediction Hai Lan Xian Wei 45 0 0 09 Jun 2023
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge Yvenn Amara-Ouali Y. Goude Nathan Doumèche Pascal Veyret Alexis Thomas ... Aymeric Jan Yannick Deleuze Paul Berhaut Sébastien Treguer Tiphaine Phe-Neau 63 5 0 09 Jun 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 82 27 0 09 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 116 7 0 08 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction Xuan Lin Lichang Dai Yafang Zhou Zunpeng Yu Wen Zhang ... Li Zeng Hao-Heng Chen Bosheng Song Philip S. Yu Xiangxiang Zeng GNN 62 61 0 08 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 45 1 0 08 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 100 43 0 08 Jun 2023
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction Y. Tan Bingxin Zhou Yuanhong Jiang Yu Wang Liang Hong 65 2 0 08 Jun 2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction Jiaxian Yan Zhaofeng Ye Ziyi Yang Chengqiang Lu Shengyu Zhang Qi Liu J. Qiu 109 13 0 08 Jun 2023
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model Can Rong Jingtao Ding Zhicheng Liu Yong Li DiffM 130 9 0 08 Jun 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity S. Verma Burouj Armgaan Sourav Medya Sayan Ranu CML AI4CE 62 0 0 07 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 50 1 0 07 Jun 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 67 2 0 07 Jun 2023