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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification Simon Chi Lok Yu Jie He Víctor Gutiérrez-Basulto Jeff Z. Pan 98 3 0 08 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 99 21 0 08 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu Zhengwu Zhang Liang Zhao GNN 89 24 0 07 Oct 2023
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System Jun Huang Yang Yang Hang Yu Jianguo Li Xiao Zheng AI4TS 33 14 0 07 Oct 2023
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei Jin Haiyang Zhang Hui Liu Jiliang Tang 105 86 0 07 Oct 2023
Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin Xinyu Yuan Hesham Mostafa Jian Tang Zhaocheng Zhu VLM ReLM 89 49 0 06 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 82 12 0 06 Oct 2023
Latent Graph Inference with Limited Supervision Jianglin Lu Yi Tian Xu Huan Wang Yue Bai Yun Fu 71 4 0 06 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 58 8 0 06 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 84 2 0 06 Oct 2023
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection Heehyeon Kim Jinhyeok Choi Joyce Jiyoung Whang GNN 59 7 0 06 Oct 2023
Document-Level Relation Extraction with Relation Correlation Enhancement Yusheng Huang Zhouhan Lin 46 2 0 06 Oct 2023
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps Rakesh Bal Yijia Xiao Wei Wang 40 4 0 06 Oct 2023
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis Eunsong Kang Da-Woon Heo Jiwon Lee Heung-II Suk 18 4 0 06 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 55 6 0 05 Oct 2023
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis Adrian Cosma I. Radoi 62 1 0 05 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 64 12 0 05 Oct 2023
Learning Hierarchical Relational Representations through Relational Convolutions Awni Altabaa John Lafferty 57 2 0 05 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 73 12 0 04 Oct 2023
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection Xiangyu Dong Xingyi Zhang Sibo Wang GNN 94 17 0 04 Oct 2023
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition Angelica Simonetti Ferdinando Zanchetta AI4CE 28 0 0 04 Oct 2023
Leveraging Temporal Graph Networks Using Module Decoupling Or Feldman Chaim Baskin OOD OffRL 62 1 0 04 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs Christian Koke Daniel Cremers 106 11 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 150 15 0 03 Oct 2023
Graph Neural Network-based EEG Classification: A Survey D. Klepl Min Wu F. He 80 30 0 03 Oct 2023
Controlling Topic-Focus Articulation in Meaning-to-Text Generation using Graph Neural Networks Chunliu Wang Rik van Noord Johan Bos AI4CE 43 0 0 03 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 90 3 0 03 Oct 2023
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering Bruno Souza Marius Aasan Hélio Pedrini Adín Ramirez Rivera SSL 86 2 0 03 Oct 2023
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng Farhad Shirani Tianchun Wang Wei Cheng Zhuomin Chen Haifeng Chen Hua Wei Dongsheng Luo 97 12 0 03 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 89 14 0 03 Oct 2023
Transformers are efficient hierarchical chemical graph learners Zihan Pengmei Zimu Li Chih-chan Tien Risi Kondor Aaron R Dinner GNN 48 2 0 02 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 108 33 0 02 Oct 2023
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods E. Zappala Daniel Levine Shiyang Zhang S. Rizvi Sacha Lévy David van Dijk 65 1 0 02 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 69 1 0 02 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 110 26 0 02 Oct 2023
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation Xiaohang Xu Toyotaro Suzumura Jiawei Yong Masatoshi Hanai Chuang Yang H. Kanezashi Renhe Jiang Shintaro Fukushima 93 15 0 02 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 192 80 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 62 10 0 02 Oct 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 83 0 0 02 Oct 2023
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction Omid Bazgir Zichen Wang Ji Won Park Marc Hafner James Lu AI4CE 71 1 0 02 Oct 2023
Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection Bibek Bhattarai H. H. Huang 28 2 0 02 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Leilei Gan Zeke Wang GNN 60 5 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 93 16 0 01 Oct 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 30 0 01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 96 80 0 01 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau Eric Lu Nikolaos Karalias Jessica Xu Stefanie Jegelka 124 4 0 01 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Daniel Cremers GNN 54 1 0 30 Sep 2023
Learning High-level Semantic-Relational Concepts for SLAM Jose A. Millan-Romera Hriday Bavle Muhammad Shaheer Martin R. Oswald Holger Voos J. L. Sánchez-López 66 1 0 30 Sep 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 126 1 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Helen Zhou 111 0 0 29 Sep 2023