Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 2,625 papers shown

Title
Deep Kalman Filters Can Filter Blanka Hovart Anastasis Kratsios Yannick Limmer Xuwei Yang 50 1 0 31 Dec 2024
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 60 4 0 31 Dec 2024
Discrete Curvature Graph Information Bottleneck Xingcheng Fu Jian Wang Yisen Gao Qingyun Sun Haonan Yuan Jianxin Li Xianxian Li 34 0 0 31 Dec 2024
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zhifeng Hao 51 7 0 31 Dec 2024
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 75 0 0 22 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 86 0 0 21 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 75 0 0 18 Dec 2024
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 120 0 0 15 Dec 2024
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion Manman Yuan Weiming Jia Xiong Luo Jiazhen Ye Peican Zhu Junlin Li 74 0 0 11 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu Pan Deng Yu Zhao J. Liu Ziáng Wang MoE 182 0 0 30 Nov 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks Tae-Hoon Lee Min-Soo Kim 81 0 0 29 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning Toyotaro Suzumura H. Kanezashi Shotaro Akahori AI4MH 74 0 0 25 Nov 2024
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments Shuijing Liu Haochen Xia Fatemeh Cheraghi Pouria Kaiwen Hong Neeloy Chakraborty Katherine Rose Driggs-Campbell Joydeep Biswas Katherine Driggs-Campbell 111 1 0 19 Nov 2024
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes Rahul Garg Trilok Padhi Hemang Jain Ugur Kursuncu Ponnurangam Kumaraguru 75 3 0 19 Nov 2024
Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection Chia-Hsiang Lin Tzu-Hsuan Lin Jocelyn Chanussot GNN 34 2 0 12 Nov 2024
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification C. Jin Luyang Luo Huangjing Lin Jun Hou Hao Chen 47 3 0 12 Nov 2024
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Rohit Bokade Xiaoning Jin OffRL 39 0 0 10 Nov 2024
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 31 0 0 07 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 1 0 06 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 47 0 0 04 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 49 0 0 03 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 29 0 0 01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph Wenkai Li Zhijie Liu Xiaoqi Li Sen Nie GNN 33 14 0 28 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges Farid Ariai Gianluca Demartini ELM AILaw VLM 40 4 0 25 Oct 2024
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 32 0 0 23 Oct 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 2 0 23 Oct 2024
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning Jun-En Ding Chien-Chin Hsu Feng Liu Shuqiang Wang Feng Liu 54 0 0 23 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 42 2 0 22 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 29 1 0 20 Oct 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks Hao Sui Bing Chen J. Zhang Chengcheng Zhu Di Wu Qinghua Lu Guodong Long AAML 31 1 0 18 Oct 2024
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph Maitreya Prafulla Chitale Uday Bindal Rajakrishnan Rajkumar Rahul Mishra 26 0 0 18 Oct 2024
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models Tangwen Qian Junhe Li Yile Chen Gao Cong Tao Sun Fei Wang Yongjun Xu AI4TS 38 3 0 17 Oct 2024
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability G. Panapitiya Peiyuan Gao C Mark Maupin Emily Saldanha AI4CE 41 1 0 16 Oct 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui Yunpeng Weng Xing Tang Fuyuan Lyu Dugang Liu Xiuqiang He Chen Ma 41 3 0 16 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang Siqiang Luo Caihua Shan Yifei Shen 32 0 0 16 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 138 0 0 15 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 26 1 0 15 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 34 0 0 14 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 60 6 0 14 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 38 0 0 12 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation Félix Marcoccia C. Adjih P. Mühlethaler DiffM 16 0 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 45 1 0 09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Fan Zhang Congcong Wen Hui Lin Xiang Wang 53 1 0 09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 54 1 0 09 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024