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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,697 papers shown
Title
Reliable Graph Neural Networks via Robust Aggregation
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler
Daniel Zügner
Stephan Günnemann
AAML
OOD
14
72
0
29 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen
Zhewei Wei
Bolin Ding
Yaliang Li
Ye Yuan
Xiaoyong Du
Ji-Rong Wen
GNN
23
145
0
29 Oct 2020
Geometric Scattering Attention Networks
Geometric Scattering Attention Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
34
9
0
28 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
39
1,085
0
27 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
50
283
0
27 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
BDL
GNN
48
29
0
26 Oct 2020
Contrastive Graph Neural Network Explanation
Contrastive Graph Neural Network Explanation
Lukas Faber
A. K. Moghaddam
Roger Wattenhofer
43
36
0
26 Oct 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task
  Correlation Information for Label Aggregation in Crowdsourcing
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
Hanlu Wu
Tengfei Ma
Lingfei Wu
S. Ji
FedML
28
11
0
25 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval
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
GNN
44
91
0
24 Oct 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
SSL
65
33
0
23 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
T. Dash
A. Srinivasan
Lovekesh Vig
NAI
49
25
0
23 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label
  Propagation
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong
Jiawei Chen
Fuli Feng
Xiangnan He
Shuxian Bi
Zhaolin Ding
Peng Cui
BDL
40
103
0
23 Oct 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Hongzhi Zhang
Yanan Cao
Bin Wang
73
91
0
23 Oct 2020
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal
  Language Sequences
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences
Jianing Yang
Yongxin Wang
Ruitao Yi
Yuying Zhu
Azaan Rehman
Amir Zadeh
Soujanya Poria
Louis-Philippe Morency
39
11
0
22 Oct 2020
Graph Neural Network for Large-Scale Network Localization
Graph Neural Network for Large-Scale Network Localization
Wenzhong Yan
Di Jin
Zhidi Lin
Feng Yin
GNN
25
31
0
22 Oct 2020
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for Recommendation
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
38
1,130
0
21 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks
On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang
Chengyuan Deng
GNN
40
4
0
21 Oct 2020
A Weighted Heterogeneous Graph Based Dialogue System
A Weighted Heterogeneous Graph Based Dialogue System
Xinyan Zhao
Liangwei Chen
Huanhuan Chen
54
4
0
21 Oct 2020
Modeling Content and Context with Deep Relational Learning
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco
Dan Goldwasser
NAI
60
34
0
20 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
57
19
0
20 Oct 2020
Contextual Heterogeneous Graph Network for Human-Object Interaction
  Detection
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
Hai Wang
Weishi Zheng
Yingbiao Ling
27
88
0
20 Oct 2020
Topology-Aware Graph Pooling Networks
Topology-Aware Graph Pooling Networks
Hongyang Gao
Yi Liu
Shuiwang Ji
15
89
0
19 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks
Neural Architecture Performance Prediction Using Graph Neural Networks
Jovita Lukasik
David Friede
Heiner Stuckenschmidt
Margret Keuper
GNN
AI4CE
72
10
0
19 Oct 2020
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network
  Search Based on Reinforcement Learning and Existing Research Results
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
GNN
AI4TS
33
22
0
15 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
31
331
0
12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
30
153
0
12 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale
  Graphs
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng
Chao Ma
Minjie Wang
Jinjing Zhou
Qidong Su
Xiang Song
Quan Gan
Zheng Zhang
George Karypis
FedML
GNN
32
244
0
11 Oct 2020
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity
  in Enterprise Networks
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks
Hazem M. Soliman
Geoffrey Salmon
Dusan Sovilj
M. Rao
22
4
0
09 Oct 2020
Inductive Entity Representations from Text via Link Prediction
Inductive Entity Representations from Text via Link Prediction
Daniel Daza
Michael Cochez
Paul T. Groth
35
109
0
07 Oct 2020
Exploring and Evaluating Attributes, Values, and Structures for Entity
  Alignment
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu
Yixin Cao
Liangming Pan
Juan-Zi Li
Zhiyuan Liu
Tat-Seng Chua
33
129
0
07 Oct 2020
Accurate, Efficient and Scalable Training of Graph Neural Networks
Accurate, Efficient and Scalable Training of Graph Neural Networks
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
14
8
0
05 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
62
176
0
05 Oct 2020
End-to-End Differentiable Molecular Mechanics Force Field Construction
End-to-End Differentiable Molecular Mechanics Force Field Construction
Yuanqing Wang
Josh Fass
Benjamin Kaminow
John E. Herr
Dominic Rufa
Ivy Zhang
Iván Pulido
Mike Henry
J. Chodera
39
23
0
02 Oct 2020
Quantifying Privacy Leakage in Graph Embedding
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu
A. Boutet
Virat Shejwalkar
MIACV
33
120
0
02 Oct 2020
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Donghan Yu
Chenguang Zhu
Yiming Yang
Michael Zeng
KELM
24
142
0
02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
58
226
0
30 Sep 2020
GraphITE: Estimating Individual Effects of Graph-structured Treatments
GraphITE: Estimating Individual Effects of Graph-structured Treatments
Shonosuke Harada
H. Kashima
CML
37
22
0
29 Sep 2020
Information Obfuscation of Graph Neural Networks
Information Obfuscation of Graph Neural Networks
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
AAML
30
35
0
28 Sep 2020
Graph convolutional regression of cardiac depolarization from sparse
  endocardial maps
Graph convolutional regression of cardiac depolarization from sparse endocardial maps
Felix Meister
T. Passerini
Chloé Audigier
È. Lluch
Viorel Mihalef
H. Ashikaga
A. Maier
H. Halperin
Tommaso Mansi
6
8
0
28 Sep 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule
  Properties
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Zeren Shui
George Karypis
29
62
0
26 Sep 2020
Inductive Graph Embeddings through Locality Encodings
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
GNN
15
1
0
26 Sep 2020
Attribute Propagation Network for Graph Zero-shot Learning
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
VLM
40
75
0
24 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
45
49
0
24 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation
  Learning
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Yizhu Jiao
Yun Xiong
Jiawei Zhang
Yao Zhang
Tianqi Zhang
Yangyong Zhu
SSL
26
168
0
22 Sep 2020
Uncertainty-aware Attention Graph Neural Network for Defending
  Adversarial Attacks
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
Boyuan Feng
Yuke Wang
Ziyi Wang
Yufei Ding
AAML
21
34
0
22 Sep 2020
div2vec: Diversity-Emphasized Node Embedding
div2vec: Diversity-Emphasized Node Embedding
Jisu Jeong
Jeong-Min Yun
Hongi Keam
Young-Jin Park
Zimin Park
Junki Cho
24
5
0
21 Sep 2020
Learned Low Precision Graph Neural Networks
Learned Low Precision Graph Neural Networks
Yiren Zhao
Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
Pietro Lio
GNN
39
35
0
19 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
35
60
0
18 Sep 2020
Answering Any-hop Open-domain Questions with Iterative Document
  Reranking
Answering Any-hop Open-domain Questions with Iterative Document Reranking
Ping Nie
Yuyu Zhang
Arun Ramamurthy
Le Song
43
20
0
16 Sep 2020
Social network analytics for supervised fraud detection in insurance
Social network analytics for supervised fraud detection in insurance
María Óskarsdóttir
Waqas Ahmed
Katrien Antonio
Bart Baesens
R. Dendievel
Tom Donas
Tom Reynkens
24
36
0
15 Sep 2020
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