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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs Jiajun Tan Fei Sun Ruichen Qiu Du Su Huawei Shen MU 109 9 0 16 Feb 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs Zae Myung Kim Kwang Hee Lee Preston Zhu Vipul Raheja Dongyeop Kang DeLMO 100 10 0 16 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data Chin-Chia Michael Yeh Yujie Fan Xin Dai Uday Singh Saini Vivian Lai ... Huiyuan Chen Yan Zheng Zhongfang Zhuang Liang Wang Wei Zhang AI4TS 46 8 0 16 Feb 2024
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning Jun Zhuang C. Kennington 37 10 0 16 Feb 2024
Can we Soft Prompt LLMs for Graph Learning Tasks? Zheyuan Liu Xiaoxin He Yijun Tian Nitesh Chawla 98 33 0 15 Feb 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining Haihong Zhao Aochuan Chen Xiangguo Sun Hong Cheng Jia Li 98 41 0 15 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh Chawla AI4CE 65 4 0 15 Feb 2024
Scalable Graph Self-Supervised Learning Ali Saheb Pasand Reza Moravej Mahdi Biparva Raika Karimi Ali Ghodsi SSL 50 0 0 14 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 70 8 0 14 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives Shubham Gupta Srikanta J. Bedathur OOD 62 1 0 14 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 78 2 0 14 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 104 10 0 14 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 104 35 0 14 Feb 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays Luca Ballotta Rajat Talak AI4CE 106 1 0 14 Feb 2024
Approximation of relation functions and attention mechanisms Awni Altabaa John Lafferty 75 7 0 13 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 85 4 0 13 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 185 72 0 13 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 78 1 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 95 15 0 13 Feb 2024
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale Yangxin Fan Raymond J. Wieser L. Bruckman R. French Yinghui Wu 67 1 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 90 6 0 13 Feb 2024
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection Batool Lakzaei M. H. Chehreghani Alireza Bagheri 58 1 0 13 Feb 2024
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs Hengnian Gu Zhiyi Duan Pan Xie Dongdai Zhou AI4Ed 51 1 0 13 Feb 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective Kai Guo Hongzhi Wen Wei Jin Yaming Guo Jiliang Tang Yi Chang OOD AI4CE 57 4 0 13 Feb 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction Lirong Wu Yufei Huang Cheng Tan Zhangyang Gao Bozhen Hu Haitao Lin Zicheng Liu Stan Z. Li 69 11 0 13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 84 1 0 13 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 126 71 0 13 Feb 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning Ziquan Wei Tingting Dan Guorong Wu 83 0 0 12 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh Chawla 85 1 0 12 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee Haiyang Yu Jian Zhang V. Ioannidis Xiang Song Soji Adeshina Da Zheng Christos Faloutsos 89 1 0 12 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh Chawla 71 5 0 12 Feb 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He Yijun Tian Yifei Sun Nitesh Chawla T. Laurent Yann LeCun Xavier Bresson Bryan Hooi RALM 195 95 0 12 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 146 12 0 12 Feb 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs A. Bazaga Pietro Lio G. Micklem 85 4 0 11 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 76 6 0 11 Feb 2024
Link-aware link prediction over temporal graph by pattern recognition Bingqing Liu Xikun Huang AI4CE 34 2 0 11 Feb 2024
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks Mengmei Zhang Mingwei Sun Peng Wang Shen Fan Yanhu Mo Xiaoxiao Xu Hong Liu Cheng Yang Chuan Shi 104 48 0 11 Feb 2024
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention Fangyu Ding Haiyang Wang Zhixuan Chu Tianming Li Zhaoping Hu Junchi Yan AI4CE 68 1 0 11 Feb 2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy Zehao Dong Yixin Chen Hiram Gay Yao Hao Geoff Hugo Pamela Samson Tianyu Zhao 66 1 0 11 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 60 3 0 10 Feb 2024
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute Tajima Shinji Ren Sugihara Ryota Kitahara Masayuki Karasuyama 38 1 0 10 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 74 0 0 09 Feb 2024
Dynamic Graph Information Bottleneck Haonan Yuan Qingyun Sun Xingcheng Fu Cheng Ji Jianxin Li AAML AI4CE 100 11 0 09 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 105 5 0 09 Feb 2024
Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning Jiawei Jiang Yifan Yang Jingyuan Wang Junjie Wu AI4TS 57 2 0 09 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Miao Hu Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 103 13 0 09 Feb 2024
Flexible Infinite-Width Graph Convolutional Neural Networks Ben Anson Edward Milsom Laurence Aitchison SSL GNN 71 1 0 09 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 68 3 0 08 Feb 2024
Classifying Nodes in Graphs without GNNs Daniel Winter Niv Cohen Yedid Hoshen 238 2 0 08 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 116 7 0 08 Feb 2024