FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

30 January 2018

Papers citing "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling"

50 / 696 papers shown

Title
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 108 17 0 06 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 100 22 0 03 Feb 2023
Do We Really Need Graph Neural Networks for Traffic Forecasting? Xu Liu Yuxuan Liang Chao Huang Hengchang Hu Yushi Cao Bryan Hooi Roger Zimmermann AI4TS 98 22 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 84 8 0 29 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 95 6 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 53 0 0 25 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 69 0 0 19 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng Zhang GNN 128 3 0 18 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 97 8 0 12 Jan 2023
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context Liam Hebert Lukasz Golab R. Cohen 54 8 0 10 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 64 4 0 04 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 50 0 0 28 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 60 0 0 19 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 73 15 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 119 56 0 18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 131 5 0 17 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 100 9 0 09 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 62 0 0 09 Dec 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 63 4 0 28 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 91 30 0 25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 89 8 0 21 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 77 2 0 19 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Yongbin Li Bingbing Xu Qi Cao Yige Yuan Huawei Shen 23 0 0 16 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 26 0 10 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 42 4 0 06 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 119 8 0 01 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 127 65 0 01 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 100 2 0 31 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs M. F. Balin Ümit V. Çatalyürek 85 17 0 24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 51 5 0 24 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 56 0 0 20 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 87 10 0 18 Oct 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs Ruijie Wang Zheng Li Dachun Sun Shengzhong Liu Jinning Li Bing Yin Tarek Abdelzaher OffRL 79 44 0 16 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 77 10 0 14 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 Helen Zhou Zhangyang Wang GNN 99 58 0 14 Oct 2022
Characterizing the Influence of Graph Elements Zizhang Chen Peizhao Li Hongfu Liu Pengyu Hong TDI 36 23 0 14 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 90 22 0 12 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 175 13 0 08 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 72 0 0 08 Oct 2022
Robust Graph Structure Learning via Multiple Statistical Tests Yaohua Wang Fangyi Zhang Ming Lin Senzhang Wang Xiuyu Sun Rong Jin 67 1 0 08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 162 91 0 08 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 170 35 0 06 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 151 6 0 05 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 73 13 0 05 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 73 3 0 03 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 69 8 0 01 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 109 2 0 30 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuanchen Bei Feiran Huang BDL GNN 32 1 0 25 Sep 2022
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 88 10 0 23 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification Aleksandar Tomcic Miloš Savić Miloš Radovanović 53 3 0 15 Sep 2022