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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 64 7 0 23 Jun 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction Cong Shen Pingjian Ding Junjie Wee Jialin Bi Jiawei Luo Kelin Xia GNN 99 6 0 23 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support Jie Wang Zheng Yan Jiahe Lan Elisa Bertino Witold Pedrycz 51 12 0 23 Jun 2023
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach Benjamin Zalatan Maryam Rahnemoonfar 32 8 0 22 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 68 1 0 22 Jun 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 153 44 0 22 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 103 12 0 22 Jun 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 137 35 0 22 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 89 5 0 22 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 105 65 0 21 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 103 9 0 21 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations Yidong Liao Brandon M. Wood Abhishek Das Tess E. Smidt 135 159 0 21 Jun 2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing Ye Ma Mingming Sun P. Li GNN 58 1 0 21 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 103 19 0 20 Jun 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality Liang Li Ruiying Geng Chengyang Fang Bing Li Can Ma Rongyu Cao Binhua Li Fei Huang Yongbin Li 67 3 0 20 Jun 2023
Contrastive Disentangled Learning on Graph for Node Classification Xiaojuan Zhang Jun Fu Shuang Li SSL 61 1 0 20 Jun 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 67 3 0 20 Jun 2023
Deep graph kernel point processes Zheng Dong Matthew Repasky Xiuyuan Cheng Yao Xie 3DPC 96 3 0 20 Jun 2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method Shuo Han Jiachegn Liu Jiayun Wu Yinan Chen Li Tao 101 0 0 20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 63 14 0 20 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang Zijie Huang Xiao Luo Yizhou Sun CML 106 16 0 20 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching Manel Farhat A. Ben-Hamadou SSL 70 1 0 19 Jun 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design Carl Edwards Aakanksha Naik Tushar Khot Martin D. Burke Heng Ji Tom Hope 130 16 0 19 Jun 2023
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network A. Mubarak Jingjing Li Han Cao GNN 78 0 0 19 Jun 2023
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph Zhanyu Liu Chumeng Liang Guanjie Zheng Hua Wei 71 5 0 19 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 131 98 0 19 Jun 2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Siu-keung Yiu Ruihua Han AI4TS 112 22 0 19 Jun 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification Le-le Cao Vilhelm von Ehrenheim Mark Granroth-Wilding Richard Anselmo Stahl Andrew McCornack Armin Catovic Dhiana Deva Cavalcanti Rocha 102 4 0 18 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 61 0 0 18 Jun 2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification Guangyi Liu Tong Zhang Xudong Wang Wenting Zhao Chuanwei Zhou Zhen Cui 61 1 0 18 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 107 7 0 18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 70 6 0 18 Jun 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 174 59 0 18 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network Fan Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 88 3 0 17 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 141 24 0 17 Jun 2023
Dual Node and Edge Fairness-Aware Graph Partition Tingwei Liu Peizhao Li Hongfu Liu 57 0 0 16 Jun 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 89 3 0 16 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 84 23 0 16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 97 28 0 16 Jun 2023
Kriging Convolutional Networks G. Appleby Linfeng Liu Liping Liu 119 66 0 15 Jun 2023
MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting Jun-Jie Mao Yuexing Han Bing Wang 55 7 0 15 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N. Lell A. Scherp 72 1 0 15 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 87 23 0 15 Jun 2023
Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding Bowen Xing Ivor W. Tsang 70 15 0 15 Jun 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Yu Wang Tongya Zheng Shunyu Liu Zunlei Feng Kaixuan Chen Yunzhi Hao Min-Gyoo Song 96 9 0 15 Jun 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 67 0 0 15 Jun 2023
Rethinking Document-Level Relation Extraction: A Reality Check Jing Li Yequan Wang Shuai Zhang Min Zhang 90 13 0 15 Jun 2023
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach Xiucheng Wang Nan Cheng Lianhao Fu Wei Quan Ruijin Sun Yilong Hui Tom H. Luan X. Shen 87 9 0 15 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu Weitao Du Yanjing Li Zhuoxinran Li Zhiling Zheng ... Anima Anandkumar C. Borgs J. Chayes Hongyu Guo Jian Tang AI4CE 99 24 0 15 Jun 2023