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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,540 papers shown
Title
Graph4GUI: Graph Neural Networks for Representing Graphical User
  Interfaces
Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces
Yue Jiang
Changkong Zhou
Vikas Garg
Antti Oulasvirta
69
8
0
21 Apr 2024
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Qixuan Zhang
Zhifeng Wang
Yang Liu
Zhenyue Qin
Kaihao Zhang
Sabrina Caldwell
Tom Gedeon
CVBM
71
1
0
21 Apr 2024
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with
  Graph Convolutional Networks
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks
Rafael F. Oliveira
Gladston J. P. Moreira
Vander L. S. Freitas
Eduardo José da S. Luz
39
1
0
19 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
91
0
0
19 Apr 2024
A Clean-graph Backdoor Attack against Graph Convolutional Networks with
  Poisoned Label Only
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only
Jiazhu Dai
Haoyu Sun
AAML
81
2
0
19 Apr 2024
Improving Chinese Character Representation with Formation Tree
Improving Chinese Character Representation with Formation Tree
Yang Hong
Yinfei Li
Xiaojun Qiao
Rui Li
Junsong Zhang
VLM
85
1
0
19 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with
  Scarce Labeled Data
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang
Qingyuan Zeng
Wanyu Lin
Min Jiang
Kay Chen Tan
SSL
69
3
0
19 Apr 2024
Proteus: Preserving Model Confidentiality during Graph Optimizations
Proteus: Preserving Model Confidentiality during Graph Optimizations
Yubo Gao
Maryam Haghifam
Christina Giannoula
Renbo Tu
Gennady Pekhimenko
Nandita Vijaykumar
AAML
130
1
0
18 Apr 2024
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation
  Extraction
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
Urchade Zaratiana
Nadi Tomeh
Niama El Khbir
Pierre Holat
Thierry Charnois
124
1
0
18 Apr 2024
X-Light: Cross-City Traffic Signal Control Using Transformer on
  Transformer as Meta Multi-Agent Reinforcement Learner
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
Haoyuan Jiang
Ziyue Li
Hua Wei
Xuantang Xiong
Jingqing Ruan
Jiaming Lu
Hangyu Mao
Rui Zhao
96
10
0
18 Apr 2024
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic
  Forecasting
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
Songtao Huang
Hongjin Song
Tianqi Jiang
A. Telikani
Jun Shen
Qingguo Zhou
Binbin Yong
Qiang Wu
AI4TS
44
0
0
18 Apr 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based
  Online Intelligent Education Systems
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Shuo Liu
Junhao Shen
Hong Qian
Aimin Zhou
AI4Ed
80
24
0
17 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals
  Classification
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
Htoo Wai Aung
Jiao Jiao Li
Yang An
Steven W. Su
66
2
0
17 Apr 2024
CORE: Data Augmentation for Link Prediction via Information Bottleneck
CORE: Data Augmentation for Link Prediction via Information Bottleneck
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
57
0
0
17 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed
  graphs
You do not have to train Graph Neural Networks at all on text-attributed graphs
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
109
1
0
17 Apr 2024
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural
  Networks
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
Joshua Melton
Shannon Reid
Gabriel Terejanu
Siddharth Krishnan
44
1
0
16 Apr 2024
Integrating Graph Neural Networks with Scattering Transform for Anomaly
  Detection
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
Abdeljalil Zoubir
Badr Missaoui
74
0
0
16 Apr 2024
Solving the Tree Containment Problem Using Graph Neural Networks
Solving the Tree Containment Problem Using Graph Neural Networks
A. Dushatskiy
Esther Julien
Leen Stougie
L. Iersel
99
0
0
15 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation
  Learning on Graphs
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
Haimin Zhang
Min Xu
GNN
91
0
0
15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional
  Networks
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
Haimin Zhang
Min Xu
110
3
0
15 Apr 2024
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data
  Augmentation
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
Shangqing Liu
Wei Ma
Jian-Xun Wang
Xiaofei Xie
Rui-Lin Feng
Yang Liu
AAML
66
7
0
15 Apr 2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory
  Graph Modeling and Representation Learning
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng
Ziyi Zhou
Bowen Zhang
Ziyu Wang
Jiaqi Gan
Ziang Ren
Weiqi Feng
Yi Lyu
Hefan Zhang
Xingjian Diao
69
8
0
15 Apr 2024
VideoSAGE: Video Summarization with Graph Representation Learning
VideoSAGE: Video Summarization with Graph Representation Learning
Jose M. Rojas Chaves
Subarna Tripathi
72
3
0
14 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node
  Feature Noise
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
Tai Hasegawa
Sukwon Yun
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
43
0
0
14 Apr 2024
PID-Comm: A Fast and Flexible Collective Communication Framework for
  Commodity Processing-in-DIMM Devices
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices
Si Ung Noh
Junguk Hong
Chaemin Lim
Seong-Yeol Park
Jeehyun Kim
Hanjun Kim
Youngsok Kim
Jinho Lee
85
8
0
13 Apr 2024
Seismic First Break Picking in a Higher Dimension Using Deep Graph
  Learning
Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
Hongtao Wang
Lihong Long
Jiangshe Zhang
Xiaoli Wei
Chunxia Zhang
Zhenbo Guo
33
1
0
12 Apr 2024
Graph Attention Network for Lane-Wise and Topology-Invariant
  Intersection Traffic Simulation
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
Nooshin Yousefzadeh
Rahul Sengupta
Yashaswi Karnati
Anand Rangarajan
Sanjay Ranka
68
3
0
11 Apr 2024
Can Contrastive Learning Refine Embeddings
Can Contrastive Learning Refine Embeddings
Lihui Liu
Jinha Kim
Vidit Bansal
SSL
73
1
0
11 Apr 2024
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on
  FPGA
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA
Bingyi Zhang
Rajgopal Kannan
Carl E. Busart
Viktor Prasanna
GNNViT
59
0
0
10 Apr 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained
  Language Models via Graph-guided Self-Attention Mechanism
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
Shuzhou Yuan
Michael Farber
64
2
0
10 Apr 2024
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing
  Service Discovery
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery
Yunqing Li
B. Starly
54
13
0
09 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
127
8
0
09 Apr 2024
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene
  Understanding
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding
Yash Mehan
Kumaraditya Gupta
Rohit Jayanti
Anirudh Govil
Sourav Garg
Madhava Krishna
3DPC
88
2
0
09 Apr 2024
Message Passing Variational Autoregressive Network for Solving
  Intractable Ising Models
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
Qunlong Ma
Zhi Ma
Jinlong Xu
Hairui Zhang
Ming Gao
70
6
0
09 Apr 2024
Zero-Shot Relational Learning for Multimodal Knowledge Graphs
Zero-Shot Relational Learning for Multimodal Knowledge Graphs
Rui Cai
Shichao Pei
Xiangliang Zhang
85
4
0
09 Apr 2024
Fair Graph Neural Network with Supervised Contrastive Regularization
Fair Graph Neural Network with Supervised Contrastive Regularization
M. T. Kejani
Fadi Dornaika
Jean-Michel Loubes
91
0
0
09 Apr 2024
Rapid and Precise Topological Comparison with Merge Tree Neural Networks
Rapid and Precise Topological Comparison with Merge Tree Neural Networks
Yu Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
77
4
0
08 Apr 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
75
1
0
07 Apr 2024
Chiplet Placement Order Exploration Based on Learning to Rank with Graph
  Representation
Chiplet Placement Order Exploration Based on Learning to Rank with Graph Representation
Zhi-Bing Deng
Yuanyuan Duan
Leilai Shao
Xiaolei Zhu
18
3
0
07 Apr 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi
Celia Rubio-Madrigal
R. Burkholz
117
5
0
06 Apr 2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical
  Subspace Disentanglement
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
Jing Du
Zesheng Ye
Bin Guo
Zhiwen Yu
Lina Yao
101
1
0
06 Apr 2024
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
Yidong Gong
Pradeep Kumar
GNN
46
4
0
05 Apr 2024
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
109
2
0
05 Apr 2024
Deep Learning for Satellite Image Time Series Analysis: A Review
Deep Learning for Satellite Image Time Series Analysis: A Review
Lynn Miller
Charlotte Pelletier
Geoffrey I. Webb
87
26
0
05 Apr 2024
Generalization Bounds for Message Passing Networks on Mixture of
  Graphons
Generalization Bounds for Message Passing Networks on Mixture of Graphons
Sohir Maskey
Gitta Kutyniok
Ron Levie
106
6
0
04 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
89
4
0
04 Apr 2024
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium
  Approach for Binary Vulnerability Detection
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection
Litao Li
Steven H. H. Ding
Andrew Walenstein
P. Charland
Benjamin C. M. Fung
72
0
0
03 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers
  Equation Models
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
Yifan Qu
Oliver A. Krzysik
H. Sterck
Omer Ege Kara
AI4CE
67
0
0
03 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient
  Segment Reduction on GPU
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu
Genghan Zhang
Hanxian Huang
Xin Chen
Jishen Zhao
GNN
92
0
0
03 Apr 2024
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph
  Neural Networks
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks
Xin Huang
Weipeng Zhuo
Minh Phu Vuong
Shiju Li
Jongryool Kim
Bradley Rees
Chul-Ho Lee
GNN
71
0
0
02 Apr 2024
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