Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 3,035 papers shown

Title
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 62 12 0 28 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 44 11 0 28 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD 27 0 0 27 Oct 2023
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks Xiang Li Jing Zhang Yalin Yuan Cangqi Zhou 26 3 0 26 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 42 4 0 24 Oct 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs Yichuan Li Kaize Ding Kyumin Lee SSL 30 25 0 23 Oct 2023
Knowledge-Induced Medicine Prescribing Network for Medication Recommendation A. Mulyadi Heung-Il Suk 42 1 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 31 0 0 23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 33 0 0 23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 53 3 0 20 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 35 2 0 19 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 39 123 0 19 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 45 18 0 18 Oct 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 40 140 0 17 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 42 4 0 16 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 33 0 0 16 Oct 2023
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization Andrew Naguib Waleed A. Yousef Issa Traoré Mohammed Mamun 18 0 0 15 Oct 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Shuyan Wan Sijie Wang Xianda Zheng Xinrui Zhang Kaiqi Zhao Jiamou Liu Dong Hao 21 1 0 15 Oct 2023
Graph Neural Network approaches for single-cell data: A recent overview Konstantinos Lazaros Dimitrios E Koumadorakis Vlamos Aristidis G. Vrahatis AI4CE 35 7 0 14 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 30 9 0 13 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 19 39 0 13 Oct 2023
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation Yunyong Ko Seongeun Ryu Sang-Wook Kim AI4TS 21 0 0 13 Oct 2023
Towards Robust Multi-Modal Reasoning via Model Selection Xiangyan Liu Rongxue Li Wei Ji Tao Lin LLMAG LRM 39 3 0 12 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Alexander Rieck 36 6 0 11 Oct 2023
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction Shuoying Wei Xinlong Wen Lida Zhu Songquan Li Rongbo Zhu OOD 22 1 0 11 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lio 35 10 0 11 Oct 2023
On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions Alvaro Carbonero Alexandre Duval Victor Schmidt Santiago Miret Alex Hernandez-Garcia Yoshua Bengio David Rolnick 43 0 0 10 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 45 23 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 55 5 0 10 Oct 2023
Controllable Chest X-Ray Report Generation from Longitudinal Representations F. Serra Chaoyang Wang F. Deligianni Jeffrey Stephen Dalton Alison Q. OÑeil MedIm 33 14 0 09 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 33 1 0 09 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 35 11 0 04 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 44 20 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 50 0 0 29 Sep 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 31 1 0 28 Sep 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 42 3 0 28 Sep 2023
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection Jiaying Wu Xinyu Chen Haobin Yang Qi Zhao Yuhui Shi AAML 27 11 0 28 Sep 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023) Lea Demelius Hanh Thi Hong Tran Roman Kern Georgeta Bordea Andreas Trügler Antoine Doucet 26 3 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings M. Devarakonda Smita Mohanty Raja Rao Sunkishala Nag Mallampalli Xiong Liu 29 4 0 27 Sep 2023
Graph Neural Prompting with Large Language Models Yijun Tian Huan Song Zichen Wang Haozhu Wang Ziqing Hu Fang Wang Nitesh Chawla Panpan Xu AI4CE 39 44 0 27 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 60 3 0 27 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 32 6 0 26 Sep 2023
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression Kyriaki-Margarita Bintsi Tamara T. Mueller Sophie Starck V. Baltatzis A. Hammers Daniel Rueckert 19 2 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 25 6 0 22 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
Unsupervised Deep Cross-Language Entity Alignment Chuanyu Jiang Yiming Qian Lijun Chen Yang Gu Xia Xie 44 5 0 19 Sep 2023