SIGN: Scalable Inception Graph Neural Networks

23 April 2020

Papers citing "SIGN: Scalable Inception Graph Neural Networks"

50 / 94 papers shown

Title
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 197 0 0 25 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu GNN 56 0 0 22 Apr 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Xunkai Li Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 59 0 0 27 Jan 2025
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection Xuzhi Zhang Zhuangzhuang Ye GuoPing Zhao Jianing Wang Xiaohong Su 29 0 0 21 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 35 0 0 21 Jan 2025
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants Gangda Deng Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 38 0 0 11 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 31 0 0 09 Sep 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 42 1 0 10 Jul 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 0 21 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 48 21 0 21 May 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 54 4 0 12 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 34 7 0 10 Mar 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 34 17 0 22 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 60 7 0 27 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 35 6 0 30 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 31 3 0 09 Nov 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 39 36 0 23 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 32 18 0 06 Mar 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases Y. Guo Zhewei Wei 32 30 0 24 Feb 2023
Higher-order Sparse Convolutions in Graph Neural Networks Jhony H. Giraldo S. Javed Arif Mahmood Fragkiskos D. Malliaros T. Bouwmans GNN 36 1 0 21 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 22 38 0 21 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 40 12 0 13 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 31 21 0 03 Feb 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 36 1 0 16 Jan 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 19 51 0 18 Dec 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 36 8 0 21 Nov 2022
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network Hanyi Hu Long Zhang Shuang Li Zhi Liu Yao Yang Chongning Na 21 0 0 04 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 36 0 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 41 57 0 14 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 29 6 0 04 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 25 14 0 24 Sep 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo Mandic 42 28 0 18 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
From Spectral Graph Convolutions to Large Scale Graph Convolutional Networks Matteo Bunino SSL GNN 29 1 0 12 Jul 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 56 123 0 06 Jul 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 25 21 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Tengjiao Wang AAML 31 16 0 17 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 32 62 0 15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 28 40 0 09 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 41 99 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 39 8 0 08 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 31 36 0 07 Jun 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 38 14 0 31 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022