GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

Papers citing "GraphSAINT: Graph Sampling Based Inductive Learning Method"

50 / 542 papers shown

Title
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 31 23 0 23 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 21 4 0 22 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 21 8 0 21 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Luo Mai GNN 15 15 0 18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 27 3 0 17 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 32 29 0 14 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 45 63 0 10 May 2023
Graph Neural Networks for Airfoil Design F. Bonnet AI4CE 17 0 0 09 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 14 15 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 30 13 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 18 6 0 04 May 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 13 29 0 20 Apr 2023
Multi-label Node Classification On Graph-Structured Data Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla AI4CE 11 5 0 20 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 13 7 0 20 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 19 99 0 17 Apr 2023
RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection S. Shi Kai Qiao J. Yang Baojie Song Jian Chen Binghai Yan 19 5 0 14 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 8 99 0 10 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh V. Chawla 25 18 0 09 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 29 12 0 04 Apr 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 6 3 0 27 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi Ren Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 26 10 0 24 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 25 4 0 24 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 9 5 0 22 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks Wenqi Wei Mu Qiao D. Jadav AAML AI4CE 20 3 0 20 Mar 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification Liang Yan Shengzhong Zhang Bisheng Li Min Zhou Zengfeng Huang 21 4 0 18 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 20 0 0 17 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 10 1 0 15 Mar 2023
Sparse and Local Networks for Hypergraph Reasoning Guangxuan Xiao L. Kaelbling Jiajun Wu Jiayuan Mao NAI ReLM LRM 27 1 0 09 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 61 8 0 06 Mar 2023
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science M. Helali Niki Monjazeb Shubham Vashisth Philippe Carrier Ahmed Helal Antonio Cavalcante Khaled Ammar K. Hose Essam Mansour 21 1 0 03 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform Hussein Abdallah Essam Mansour 11 2 0 03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 13 5 0 02 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Peng Sun Yonggang Wen Tianwei Zhang GNN 24 4 0 02 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 17 0 0 02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 16 1 0 01 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 19 7 0 01 Mar 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 16 0 0 27 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 20 38 0 21 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 6 5 0 16 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 19 5 0 13 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai M. Lin Xiang Zhang Suhang Wang AAML 13 46 0 11 Feb 2023
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields Jiaying Lu Yongchen Qian Shifan Zhao Yuanzhe Xi Carl Yang VLM 19 3 0 06 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 20 18 0 03 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 18 15 0 02 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 8 4 0 01 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 16 20 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection Hazem Lashen Lilas Alrahis J. Knechtel Ozgur Sinanoglu 17 10 0 27 Jan 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 33 16 0 25 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 11 78 0 23 Jan 2023