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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Neural Embeddings for Protein Graphs Francesco Ceccarelli Lorenzo Giusti S. Holden Pietro Lio 52 0 0 07 Jun 2023
Vulnerable Smart Contract Function Locating Based on Multi-Relational Nested Graph Convolutional Network Haiyang Liu Yuqi Fan Lin Feng Zhenchun Wei 48 12 0 07 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 52 2 0 07 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 82 0 0 07 Jun 2023
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services Jiangyi Fang Liyue Chen Di Chai Yayao Hong Xiuhuai Xie Longbiao Chen Leye Wang AI4TS 75 1 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 104 8 0 07 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 122 2 0 06 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 112 21 0 06 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 130 38 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 106 10 0 06 Jun 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 78 1 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 82 9 0 06 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 61 6 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 136 11 0 05 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 75 10 0 05 Jun 2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 93 6 0 05 Jun 2023
B-rep Matching for Collaborating Across CAD Systems Benjamin T. Jones James Noeckel Milin Kodnongbua Ilya Baran Adriana Schulz 77 1 0 05 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-hsuan Chen Levent Burak Kara Jonathan Cagan 86 3 0 05 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 110 15 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 100 24 0 05 Jun 2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE Zikai Wei Anyi Rao Bo Dai Dahua Lin 33 4 0 05 Jun 2023
Enhancing Language Representation with Constructional Information for Natural Language Understanding Lvxiaowei Xu Jian Wu Jiawei Peng Zhilin Gong Ming Cai Tianxiang Wang 61 3 0 05 Jun 2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 77 1 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 120 69 0 05 Jun 2023
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings Zequn Sun Jiacheng Huang Xiaozhou Xu Qijin Chen Weijun Ren Wei Hu AI4TS 51 4 0 05 Jun 2023
Tensorized Hypergraph Neural Networks Maolin Wang Yao Zhen Yu Pan Yao Zhao Chenyi Zhuang Zenglin Xu Ruocheng Guo Xiangyu Zhao 65 2 0 05 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 61 31 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 190 3 0 04 Jun 2023
Oversmoothing: A Nightmare for Graph Contrastive Learning? Jintang Li Wangbin Sun Ruofan Wu Yuchang Zhu Liang Chen Zibin Zheng 80 2 0 03 Jun 2023
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers Xiaoyan Zhao Yang Deng Min Yang Lingzhi Wang Rui Zhang Hong Cheng W. Lam Ying Shen Ruifeng Xu KELM 98 36 0 03 Jun 2023
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network Srikrishna Iyer Teck-Hou Teng AI4TS 49 1 0 03 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 62 28 0 02 Jun 2023
Centered Self-Attention Layers Ameen Ali Tomer Galanti Lior Wolf 140 8 0 02 Jun 2023
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems Hongde Wu Sen Yan Mingming Liu GNN AI4TS 45 0 0 02 Jun 2023
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks S. Krishnan Jihong Park S. Sagar Gregory Sherman Benjamin Campbell Jinho Choi 56 4 0 01 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 88 30 0 01 Jun 2023
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks Lorenzo Berlincioni Stefano Berretti Marco Bertini A. Bimbo 3DPC 68 1 0 01 Jun 2023
Coneheads: Hierarchy Aware Attention Albert Tseng Tao Yu Toni J.B. Liu Chris De Sa 3DPC 104 6 0 01 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries Hyunsung Kim Hyungi Lee Hongseok Yang Juho Lee 99 6 0 01 Jun 2023
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets Lili Wang Chenghan Huang Chongyang Gao Weicheng Ma Soroush Vosoughi AIFin 42 1 0 01 Jun 2023
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization Haopeng Zhang Xiao Liu Jiawei Zhang AILaw 81 12 0 31 May 2023
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving Zihao Wen Yifan Zhang Xinhong Chen Jianping Wang 79 1 0 31 May 2023
InGram: Inductive Knowledge Graph Embedding via Relation Graphs Jaejun Lee Chanyoung Chung Joyce Jiyoung Whang GNN 79 48 0 31 May 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 133 16 0 31 May 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 79 10 0 31 May 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 73 1 0 31 May 2023
Improving Expressivity of Graph Neural Networks using Localization Anant Kumar Shrutimoy Das Shubhajit Roy Binita Maity Anirban Dasgupta 69 0 0 31 May 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 89 33 0 31 May 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Xiaoxin He Xavier Bresson T. Laurent Adam Perold Yann LeCun Bryan Hooi 140 84 0 31 May 2023
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline Alexander Shevtsov D. Antonakaki Ioannis Lamprou Polyvios Pratikakis Sotiris Ioannidis 159 0 0 31 May 2023