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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes Boshi Tang Zhiyong Wu Xixin Wu Qiaochu Huang Jun Chen Shunwei Lei Helen M. Meng 100 8 0 19 Dec 2023
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies Jared Strader Nathan Hughes William Chen Alberto Speranzon Luca Carlone 3DV 104 24 0 18 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu Anh Tuan Luu Xavier Bresson Neil Shah Tong Zhao GNN 56 8 0 18 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 93 22 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 66 7 0 18 Dec 2023
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter Ying-Ying Chang Wei-Yao Wang Wenjie Peng 64 5 0 17 Dec 2023
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models Haoyuan Wu Xinyun Zhang Peng Xu Peiyu Liao Xufeng Yao Bei Yu VLM 37 0 0 17 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 99 11 0 17 Dec 2023
Degree-based stratification of nodes in Graph Neural Networks Ameen Ali Hakan Çevikalp Lior Wolf 58 0 0 16 Dec 2023
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs Ruibin Zeng Minglong Lei Lingfeng Niu Lan Cheng AI4CE 53 0 0 16 Dec 2023
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective Qirui Ji Jiangmeng Li Jie Hu Rui Wang Changwen Zheng Fanjiang Xu 103 14 0 16 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning Qihang Ai Jianwu Zhou Haiyun Jiang Lemao Liu Shuming Shi 28 1 0 16 Dec 2023
scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data Rui Yang Wenrui Dai Chenglin Li Junni Zou Dapeng Wu Hongkai Xiong 48 2 0 16 Dec 2023
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks Canlin Zhang Xiuwen Liu AI4CE 112 1 0 16 Dec 2023
On the calibration of neural networks for histological slide-level classification Alexander Kurz H. A. Mehrtens Tabea-Clara Bucher T. Brinker UQCV MedIm 57 0 0 15 Dec 2023
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy Tianhao Peng Wenjun Wu Haitao Yuan Zhifeng Bao Pengrui Zhao Xin Yu Xuetao Lin Yu Liang Yanjun Pu 142 10 0 15 Dec 2023
Rethinking Causal Relationships Learning in Graph Neural Networks Hang Gao Chengyu Yao Jiangmeng Li Hui Xiong Yifan Jin Fengge Wu Changwen Zheng Huaping Liu CML AI4CE 18 1 0 15 Dec 2023
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan Maoguo Gong Yue Wu Zedong Tang Jie Liu 62 0 0 15 Dec 2023
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection F. Febrinanto Kristen Moore Chandra Thapa Mujie Liu Vidya Saikrishna Jiangang Ma Xiwei Xu CML 75 3 0 15 Dec 2023
Towards Trustworthy AI Software Development Assistance Daniel Maninger Krishna Narasimhan Mira Mezini 78 3 0 14 Dec 2023
Heterogeneous Graph Neural Architecture Search with GPT-4 Haoyuan Dong Yang Gao Haishuai Wang Hongxi Yang Peng Zhang 64 6 0 14 Dec 2023
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Silu He Qinyao Luo Xinsha Fu Ling Zhao Ronghua Du Haifeng Li 89 8 0 14 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 90 39 0 14 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 121 19 0 14 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 62 5 0 13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report) Ruoming Jin Dong Li 68 0 0 13 Dec 2023
Simplicial Representation Learning with Neural $k$ -Forms Kelly Maggs Celia Hacker Bastian Rieck AI4CE 96 12 0 13 Dec 2023
On the verification of Embeddings using Hybrid Markov Logic Anup Shakya Abisha Thapa Magar Somdeb Sarkhel Deepak Venugopal 45 2 0 13 Dec 2023
Enhancing Robot Program Synthesis Through Environmental Context Tianyi Chen Qidi Wang Zhen Dong Liwei Shen Xin Peng 50 4 0 13 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 63 0 0 13 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation Wenjie Wu Changjun Fan Jin-Yu Huang Zhong Liu Junchi Yan 63 0 0 13 Dec 2023
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs Xiaobo Zhu Yan Wu Zhipeng Li Hailong Su Jin Che Zhanheng Chen Liying Wang 59 0 0 13 Dec 2023
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue Yizhe Yang Heyan Huang Yuhang Liu Yang Gao 56 1 0 13 Dec 2023
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Lizhen Qu 112 8 0 13 Dec 2023
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, Yuwei Han Y. Lai Yulin Zhu Kai Zhou AAML 67 1 0 12 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction Andac Demir Francis Prael B. Kiziltan 93 2 0 12 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 61 0 0 12 Dec 2023
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection J. Kim M. Urschler Patricia J. Riddle Jörg Simon Wicker AAML 84 0 0 12 Dec 2023
A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning Vivek Chaudhary 39 0 0 11 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 84 0 0 11 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 83 3 0 11 Dec 2023
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 70 1 0 11 Dec 2023
A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling Hung Chun Hsu Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang 98 0 0 11 Dec 2023
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Fan Xu Nan Wang Hao Wu Xuezhi Wen Xibin Zhao Hai Wan 79 26 0 11 Dec 2023
Detecting Contextual Network Anomalies with Graph Neural Networks Hamid Latif José Suárez-Varela A. Cabellos-Aparicio Pere Barlet-Ros AI4TS 44 2 0 11 Dec 2023
On the Prediction of Hardware Security Properties of HLS Designs Using Graph Neural Networks Amalia-Artemis Koufopoulou Athanasios Papadimitriou A. Pikrakis M. Psarakis D. Hély 33 0 0 11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and Future Directions Zhaoxuan Tan Meng Jiang 114 12 0 11 Dec 2023
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation Nimesh Agrawal Anuj Kumar Sirohi Jayadeva Sandeep Kumar 75 20 0 10 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 84 6 0 10 Dec 2023
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention Thinh-Le-Gia Pham Tran Chi Dat Quoc Nguyen VLM 69 6 0 10 Dec 2023