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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning Jialong Zhou Y. Lai Jian Ren Kai Zhou AAML 63 4 0 05 Sep 2023
Graph Self-Contrast Representation Learning Minjie Chen Yao Cheng Ye Wang Xiangci Li Ming Gao SSL 84 1 0 05 Sep 2023
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning Wei Suo Mengyang Sun Weisong Liu Yi-Meng Gao Peifeng Wang Yanning Zhang Qi Wu LRM 68 7 0 05 Sep 2023
Generalized Simplicial Attention Neural Networks Claudio Battiloro Lucia Testa Lorenzo Giusti S. Sardellitti P. Lorenzo Sergio Barbarossa 89 22 0 05 Sep 2023
Locally Stationary Graph Processes Abdullah Canbolat Elif Vural 66 1 0 04 Sep 2023
Layer-wise training for self-supervised learning on graphs Oscar Pina Verónica Vilaplana SSL GNN 68 1 0 04 Sep 2023
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs Zhihao Ding Jieming Shi Qing Li Jiannong Cao 52 1 0 04 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 111 6 0 03 Sep 2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention Hao Zhang Haisheng Li Nan Li Xiaochuan Wang AI4CE 90 2 0 03 Sep 2023
SEPAL: Spatial Gene Expression Prediction from Local Graphs Gabriel Mejía Paula Cárdenas Daniela Ruiz Angela Castillo Pablo Arbelaez 65 12 0 02 Sep 2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong Zhichun Guo Nitesh Chawla 109 8 0 02 Sep 2023
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports Tom van Sonsbeek Xiantong Zhen Marcel Warring 47 0 0 02 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 94 1 0 01 Sep 2023
Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks M. Lapenna F. Faglioni F. Zanchetta R. Fioresi AI4CE 24 0 0 01 Sep 2023
Human trajectory prediction using LSTM with Attention mechanism Amin Manafi Soltan Ahmadi Samaneh Hosseini Semnani 20 1 0 01 Sep 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network Weijia Zhang Le Zhang Jindong Han Hao Liu Jingbo Zhou Yu Mei Hui Xiong GNN AI4TS 91 12 0 31 Aug 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 114 14 0 31 Aug 2023
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning Van Thuy Hoang Sang Thanh Nguyen Sangmyeong Lee Jooho Lee Luong Vuong Nguyen O-Joun Lee 75 8 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 95 18 0 31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 67 3 0 31 Aug 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 83 39 0 31 Aug 2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks Qian Huang Jiawei Jiang Xi Rao Ce Zhang Zhichao Han ... Quanqing Xu Yang Zhao Chuang Hu Shuo Shang Bo Du 50 8 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S. Yu Hanyu Wang 117 13 0 31 Aug 2023
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations Yun Cheng Wang Xiou Ge Bin Wang C.-C. Jay Kuo 77 2 0 30 Aug 2023
Learning Structure-from-Motion with Graph Attention Networks Lucas Brynte J. Iglesias Carl Olsson Fredrik Kahl 3DPC 48 9 0 30 Aug 2023
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 66 8 0 30 Aug 2023
Knowledge-grounded Natural Language Recommendation Explanation Anthony Colas Jun Araki Zhengyu Zhou Bingqing Wang Z. Feng 73 7 0 30 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 86 0 0 30 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 103 3 0 29 Aug 2023
Structural Node Embeddings with Homomorphism Counts Hinrikus Wolf Luca Oeljeklaus Pascal Kuhner Martin Grohe 81 3 0 29 Aug 2023
How Faithful are Self-Explainable GNNs? Marc Christiansen Lea Villadsen Zhiqiang Zhong Stefano Teso Davide Mottin 55 3 0 29 Aug 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition Yijin Li Han Zhou Bangbang Yang Yexin Zhang Zhaopeng Cui Hujun Bao Guofeng Zhang 95 98 0 28 Aug 2023
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting Adnan Zeb Yongchao Ye Shiyao Zhang James Jianqiao Yu AI4TS 88 0 0 28 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 79 22 0 28 Aug 2023
Detecting Inactive Cyberwarriors from Online Forums Ruei-Yuan Wang Hung-Hsuan Chen 61 3 0 28 Aug 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 84 12 0 27 Aug 2023
Building explainable graph neural network by sparse learning for the drug-protein binding prediction Yang Wang Zanyu Shi Timothy W. Richardson Kun Huang P. Weerawarna Yijie Wang 27 0 0 27 Aug 2023
Universal Graph Continual Learning Thanh Duc Hoang Do Viet Tung Duy-Hung Nguyen Bao-Sinh Nguyen Huy Hoang Nguyen Hung Le CLL 77 4 0 27 Aug 2023
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds Yukun Su Guosheng Lin Qingyao Wu 3DH 3DPC 51 3 0 26 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 81 15 0 26 Aug 2023
Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs Hao Fei Shengqiong Wu Wei Ji Hanwang Zhang Tat-Seng Chua VGen DiffM 89 34 0 26 Aug 2023
i-Align: an interpretable knowledge graph alignment model Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 83 8 0 26 Aug 2023
Party Prediction for Twitter Kellin Pelrine Anne Imouza Zachary Yang Jacob-Junqi Tian Sacha Lévy ... Aarash Feizi Cécile Amadoro A. Blais Jean-François Godbout Reihaneh Rabbany 59 2 0 25 Aug 2023
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning Raffaele Galliera Kristen Brent Venable Matteo Bassani N. Suri 55 1 0 25 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 94 3 0 25 Aug 2023
Decoding Natural Images from EEG for Object Recognition Yonghao Song Bingchuan Liu Xiang Li Nanlin Shi Yijun Wang Xiaorong Gao 120 34 0 25 Aug 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Shi-jing Zhang Xin Yan Xuejiao Yang Binfeng Jia Shuangyang Wang 76 12 0 24 Aug 2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction Yuxi Liu Zhenhao Zhang S. Qin Flora D. Salim Antonio Jimeno Yepes Jun Shen Jiang Bian 57 2 0 24 Aug 2023
A Survey of Graph Unlearning Anwar Said Hanyu Wang Mudassir Shabbir W. Abbas X. Koutsoukos MU 61 9 0 23 Aug 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 73 3 0 23 Aug 2023