Graph Attention Multi-Layer Perceptron

9 June 2022

Papers citing "Graph Attention Multi-Layer Perceptron"

50 / 64 papers shown

Title
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 36 0 0 17 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation Aoran Liu Kun Hu Clinton Mo C. Li Zhiyong Wang 3DH AI4CE 43 0 0 16 Apr 2025
Toward General and Robust LLM-enhanced Text-attributed Graph Learning Zihao Zhang Xunkai Li Rong-Hua Li Bing Zhou Zhenjun Li Guoren Wang 49 0 0 03 Apr 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 106 19 0 28 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 46 0 0 04 Jan 2025
GraphAgent: Agentic Graph Language Assistant Yuhao Yang J. Tang Lianghao Xia Xingchen Zou Keli Zhang Chao Huang LM&Ro 95 1 0 22 Dec 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 46 0 0 17 Nov 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning Wenbin Hu Huihao Jing Qi Hu Haoran Li Yangqiu Song SSL AI4CE 42 0 0 09 Aug 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 49 4 0 29 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 44 9 0 13 Jul 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 47 3 0 07 May 2024
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification Hanxuan Yang Zhaoxin Yu Qingchao Kong Wei Liu Wenji Mao SSL 33 0 0 26 Mar 2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian ViT SSL 43 13 0 22 Mar 2024
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models M. Lashkari Amin Gheibi 44 0 0 13 Mar 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 45 37 0 02 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 40 25 0 21 Feb 2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard Turner Alireza Makhzani ODL 57 12 0 05 Feb 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 39 3 0 24 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Xunkai Li Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 46 8 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 48 8 0 22 Jan 2024
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 42 12 0 07 Dec 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 38 0 0 26 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 51 9 0 23 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 40 9 0 17 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 115 72 0 02 Oct 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 Xia Hu 60 0 0 29 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 32 6 0 26 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 44 0 0 11 Sep 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 44 34 0 29 Jul 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li Zijie Guo Qiuting He Hao Xu Kun He 38 2 0 17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 41 12 0 12 Jul 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 69 8 0 24 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 33 56 0 21 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 44 60 0 05 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 34 6 0 31 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 28 41 0 29 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 40 4 0 22 May 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph Chenguang Du Kaichun Yao Hengshu Zhu Deqing Wang Fuzhen Zhuang Hui Xiong 39 6 0 18 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 48 14 0 04 May 2023
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks Chao Li Hao Xu Kun He 28 3 0 23 Apr 2023
MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for Vision Zhimin Zhu Jianguo Zhao Tong Mu Yuliang Yang Mengyu Zhu 40 0 0 08 Apr 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 40 10 0 27 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 36 21 0 03 Feb 2023
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 26 0 0 01 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 65 8 0 01 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 37 135 0 26 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 46 57 0 14 Oct 2022
Intrinsic Dimension for Large-Scale Geometric Learning Maximilian Stubbemann Tom Hanika Friedrich Martin Schneider PINN 53 5 0 11 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 66 36 0 30 Sep 2022