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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction Jie Wang Hanzhu Chen Qitan Lv Zhihao Shi Jiajun Chen Huarui He Hongtao Xie Yongdong Zhang Feng Wu 52 0 0 20 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 45 3 0 20 Sep 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables Wenting Zhao Ye Liu Yao Wan Yibo Wang Zhongfen Deng Philip S. Yu RALM LMTD 68 7 0 20 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 102 20 0 20 Sep 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao Xiao Luo Meng Xiao Hao Dong Yuanchun Zhou Hui Xiong OOD 141 29 0 19 Sep 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images Amaya Gallagher-Syed Luca Rossi F. Rivellese C. Pitzalis M. Lewis Michael Barnes Gregory Slabaugh 60 0 0 19 Sep 2023
Unsupervised Deep Cross-Language Entity Alignment Chuanyu Jiang Yiming Qian Lijun Chen Yang Gu Xia Xie 93 5 0 19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 113 0 0 19 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks Hao Liu Jiarui Feng Lecheng Kong Dacheng Tao Yixin Chen Muhan Zhang OffRL 70 5 0 19 Sep 2023
Learning based 2D Irregular Shape Packing Zeshi Yang Zherong Pan Manyi Li Kui Wu Xifeng Gao 3DV 81 5 0 19 Sep 2023
Efficient Low-Rank GNN Defense Against Structural Attacks Abdullah Alchihabi Qing En Yuhong Guo AAML 53 1 0 18 Sep 2023
GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi Yuhong Guo 38 0 0 18 Sep 2023
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid Dibaloke Chanda Nasim Yahya Soltani 47 5 0 18 Sep 2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs George Drayson Efimia Panagiotaki Daniel Omeiza Lars Kunze 54 3 0 18 Sep 2023
Spoofing attack augmentation: can differently-trained attack models improve generalisation? W. Ge Xin Wang Junichi Yamagishi Massimiliano Todisco Nicholas W. D. Evans AAML 45 10 0 18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 110 42 0 18 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Lukas Fesser Melanie Weber 100 25 0 17 Sep 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach Wentao Hu Hui Fang 81 5 0 17 Sep 2023
Performance of Graph Neural Networks for Point Cloud Applications Dhruv Parikh Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 3DPC 71 1 0 17 Sep 2023
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution Wenyu Zhang Xin Deng Baojun Jia Xingtong Yu Yifan Chen Jin Ma Qing Ding Xinming Zhang 81 11 0 16 Sep 2023
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization Juntong Peng Hrishikesh Viswanath Kshitij Tiwari Aniket Bera 100 7 0 16 Sep 2023
Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022 Tian Yan Fan Liu AI4CE 10 0 0 16 Sep 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 44 7 0 15 Sep 2023
Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information Le Xiao Xin Shan Yuhua Wang Miaolei Deng GNN 44 0 0 15 Sep 2023
GRID: Scene-Graph-based Instruction-driven Robotic Task Planning Zhe Ni Xiao-Xin Deng Cong Tai Xin-Yue Zhu Qinghongbing Xie Yang Liu Xiang Wu Long Zeng LM&Ro 93 15 0 14 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 59 7 0 14 Sep 2023
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation Tianpu Zhang Weilong Ding Mengda Xing GNN AI4TS 61 0 0 13 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 40 4 0 12 Sep 2023
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery Ronen Taub Y. Savir 56 0 0 12 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model Yin Wang Zhiying Leng Frederick W. B. Li Shun-cheng Wu Xiaohui Liang DiffM 55 60 0 12 Sep 2023
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation Yuerong Li Zhengrong Xue Huazhe Xu 90 4 0 12 Sep 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection Yufei Li Yanchi Liu Haoyu Wang Zhengzhang Chen Wei Cheng Yuncong Chen Wenchao Yu Haifeng Chen Cong Liu 62 6 0 12 Sep 2023
Learning the Geodesic Embedding with Graph Neural Networks Bo Pang Zhongtian Zheng Guoping Wang Peng-Shuai Wang GNN 58 7 0 11 Sep 2023
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations Roan Schellingerhout Francesco Barile N. Tintarev 25 5 0 11 Sep 2023
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding Haohui Lu Mohammed Shahadat Uddin 87 7 0 11 Sep 2023
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction Haohao Qu Haoxuan Kuang Jun Li Linlin You GNN 41 26 0 11 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 100 9 0 10 Sep 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Jiaxu Liu Xinping Yi Tianle Zhang Xiaowei Huang 47 0 0 09 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering Si-Yu Yi Wei Ju Yifang Qin Xiao Luo Luchen Liu Yong-Dao Zhou Ming Zhang 125 25 0 09 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn't Maya Bechler-Speicher Ido Amos Ran Gilad-Bachrach Amir Globerson GNN AI4CE 45 15 0 08 Sep 2023
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems Keivan Faghih Niresi Mengjie Zhao Hugo Bissig Henri Baumann Olga Fink 70 4 0 08 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 111 7 0 08 Sep 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz Husrev Taha Sencar 75 22 0 07 Sep 2023
Filtration Surfaces for Dynamic Graph Classification Franz Srambical Bastian Rieck 66 1 0 07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 58 4 0 07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 116 12 0 06 Sep 2023
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese Chau-Thang Phan Quoc-Nam Nguyen Chi-Thanh Dang Trong-Hop Do Kiet Van Nguyen GNN 45 1 0 06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 79 12 0 06 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 69 2 0 06 Sep 2023
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning Manav Kulshrestha A. H. Qureshi 3DPC 97 6 0 05 Sep 2023