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1706.02216
Cited By
Inductive Representation Learning on Large Graphs
7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
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Papers citing
"Inductive Representation Learning on Large Graphs"
50 / 4,697 papers shown
Title
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Ye Yuan
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Geometric Scattering Attention Networks
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Frederik Wenkel
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Graph Contrastive Learning with Adaptive Augmentation
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Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
39
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Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
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Horace He
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GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
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Contrastive Graph Neural Network Explanation
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A. K. Moghaddam
Roger Wattenhofer
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Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
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Tengfei Ma
Lingfei Wu
S. Ji
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28
11
0
25 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval
Xiang Ling
Lingfei Wu
Sai-gang Wang
Gaoning Pan
Tengfei Ma
Fangli Xu
A. Liu
Chunming Wu
S. Ji
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44
91
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24 Oct 2020
Iterative Graph Self-Distillation
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Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
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Incorporating Symbolic Domain Knowledge into Graph Neural Networks
T. Dash
A. Srinivasan
Lovekesh Vig
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49
25
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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong
Jiawei Chen
Fuli Feng
Xiangnan He
Shuxian Bi
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Peng Cui
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40
103
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Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Hongzhi Zhang
Yanan Cao
Bin Wang
73
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Amir Zadeh
Soujanya Poria
Louis-Philippe Morency
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Graph Neural Network for Large-Scale Network Localization
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Di Jin
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Feng Yin
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31
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Self-supervised Graph Learning for Recommendation
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Xiang Wang
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Liang Chen
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Xing Xie
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On the Global Self-attention Mechanism for Graph Convolutional Networks
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Chengyuan Deng
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A Weighted Heterogeneous Graph Based Dialogue System
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Liangwei Chen
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54
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Modeling Content and Context with Deep Relational Learning
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Dan Goldwasser
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Action Sequence Augmentation for Early Graph-based Anomaly Detection
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Bo Ni
Wenhao Yu
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Neil Shah
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57
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Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
Hai Wang
Weishi Zheng
Yingbiao Ling
27
88
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Topology-Aware Graph Pooling Networks
Hongyang Gao
Yi Liu
Shuiwang Ji
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Neural Architecture Performance Prediction Using Graph Neural Networks
Jovita Lukasik
David Friede
Heiner Stuckenschmidt
Margret Keuper
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72
10
0
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Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
Chunnan Wang
Kaixin Zhang
Hongzhi Wang
Bozhou Chen
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22
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PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
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My T. Thai
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331
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Graph Information Bottleneck for Subgraph Recognition
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Tingyang Xu
Yu Rong
Yatao Bian
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153
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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
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Chao Ma
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Qidong Su
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Quan Gan
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George Karypis
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244
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A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks
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Geoffrey Salmon
Dusan Sovilj
M. Rao
22
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Inductive Entity Representations from Text via Link Prediction
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Michael Cochez
Paul T. Groth
35
109
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Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu
Yixin Cao
Liangming Pan
Juan-Zi Li
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Tat-Seng Chua
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129
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Accurate, Efficient and Scalable Training of Graph Neural Networks
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Ajitesh Srivastava
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A Unified View on Graph Neural Networks as Graph Signal Denoising
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Xiaorui Liu
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Yozen Liu
Jiliang Tang
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End-to-End Differentiable Molecular Mechanics Force Field Construction
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Josh Fass
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John E. Herr
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Ivy Zhang
Iván Pulido
Mike Henry
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23
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Quantifying Privacy Leakage in Graph Embedding
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120
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JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Donghan Yu
Chenguang Zhu
Yiming Yang
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142
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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
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226
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GraphITE: Estimating Individual Effects of Graph-structured Treatments
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Information Obfuscation of Graph Neural Networks
Peiyuan Liao
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Keyulu Xu
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Graph convolutional regression of cardiac depolarization from sparse endocardial maps
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T. Passerini
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È. Lluch
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Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Zeren Shui
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29
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Inductive Graph Embeddings through Locality Encodings
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Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
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Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
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Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
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Yun Xiong
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Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
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Yufei Ding
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div2vec: Diversity-Emphasized Node Embedding
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Jeong-Min Yun
Hongi Keam
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Junki Cho
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Learned Low Precision Graph Neural Networks
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Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
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C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
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A. Hoisie
Xin Li
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Answering Any-hop Open-domain Questions with Iterative Document Reranking
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Arun Ramamurthy
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Social network analytics for supervised fraud detection in insurance
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