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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 / 5,534 papers shown
Title
Scorch: A Library for Sparse Deep Learning
Scorch: A Library for Sparse Deep Learning
Bobby Yan
Alexander J. Root
Trevor Gale
David Broman
Fredrik Kjolstad
78
39
0
27 May 2024
Unsupervised Generative Feature Transformation via Graph Contrastive
  Pre-training and Multi-objective Fine-tuning
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
Wangyang Ying
Dongjie Wang
Xuanming Hu
Yuanchun Zhou
Charu C. Aggarwal
Yanjie Fu
84
16
0
27 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing
  Graph and Text Mutual Transformations
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
Zhengwu Zhang
Yuntong Hu
Bo Pan
Chen Ling
Liang Zhao
114
3
0
27 May 2024
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
Sonny Achten
Zander Op de Beeck
F. Tonin
Volkan Cevher
Johan A. K. Suykens
130
0
0
27 May 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression
  Model for Node Classification
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen
Danyang Huang
Liyuan Wang
Kathryn L. Lunetta
Debarghya Mukherjee
Huimin Cheng
68
0
0
26 May 2024
Graph neural networks with configuration cross-attention for tensor
  compilers
Graph neural networks with configuration cross-attention for tensor compilers
Dmitrii Khizbullin
Eduardo Rocha de Andrade
Thanh Hau Nguyen
Matheus Pedroza Ferreira
David R. Pugh
GNN
64
0
0
26 May 2024
DPHGNN: A Dual Perspective Hypergraph Neural Networks
DPHGNN: A Dual Perspective Hypergraph Neural Networks
Siddhant Saxena
Shounak Ghatak
Raghu Kolla
Debashis Mukherjee
Tanmoy Chakraborty
91
2
0
26 May 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at
  the Text Level
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
Runlin Lei
Yuwei Hu
Yuchen Ren
Zhewei Wei
96
3
0
26 May 2024
Differentiable Cluster Graph Neural Network
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
81
1
0
25 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao
Kaixiong Zhou
Yili Wang
Ninghao Liu
Ying Wang
Xin Wang
106
5
0
24 May 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
Yiqing Wu
Ruobing Xie
Zhao Zhang
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Zhanhui Kang
Yongjun Xu
42
2
0
24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
Siddhartha Shankar Das
S. Ferdous
M. Halappanavar
Edoardo Serra
A. Pothen
93
2
0
24 May 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
Tao Zou
Yuhao Mao
Junchen Ye
Bo Du
93
6
0
24 May 2024
Bundle Neural Networks for message diffusion on graphs
Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
Federico Barbero
Xiaowen Dong
Michael M. Bronstein
125
3
0
24 May 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph
  Representation Learning
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Zhuo Xu
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Edwin R. Hancock
GNN
79
1
0
23 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
80
4
0
23 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
108
3
0
23 May 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node
  Classification
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification
Yijia Zheng
Marcel Worring
DiffM
78
3
0
23 May 2024
Graph Sparsification via Mixture of Graphs
Graph Sparsification via Mixture of Graphs
Guibin Zhang
Xiangguo Sun
Xinfeng Li
Kun Wang
Tianlong Chen
Shirui Pan
74
9
0
23 May 2024
GCondenser: Benchmarking Graph Condensation
GCondenser: Benchmarking Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
106
8
0
23 May 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Shukai Duan
Heng Ping
Nikos Kanakaris
Xiongye Xiao
Panagiotis Kyriakis
...
Guixiang Ma
Mihai Capota
Shahin Nazarian
Theodore L. Willke
Paul Bogdan
117
5
0
23 May 2024
Advancing Transportation Mode Share Analysis with Built Environment:
  Deep Hybrid Models with Urban Road Network
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network
Dingyi Zhuang
Qingyi Wang
Yunhan Zheng
Xiaotong Guo
Shenhao Wang
Haris N. Koutsopoulos
Jinhua Zhao
48
0
0
23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
353
54
0
23 May 2024
Analysis of Corrected Graph Convolutions
Analysis of Corrected Graph Convolutions
Robert Wang
Aseem Baranwal
Kimon Fountoulakis
116
0
0
22 May 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space
  Model
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
Zhenyu Pan
Yoonsung Jeong
Xiaoda Liu
Han Liu
88
1
0
22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
100
4
0
22 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
149
8
0
22 May 2024
Bond Graphs for multi-physics informed Neural Networks for multi-variate
  time series
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
Alexis-Raja Brachet
Pierre-Yves Richard
Céline Hudelot
AI4CE
88
0
0
22 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang
David W. Zhang
Jia-Hong Huang
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
69
1
0
22 May 2024
Utilizing Description Logics for Global Explanations of Heterogeneous
  Graph Neural Networks
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
Dominik Köhler
Stefan Heindorf
152
1
0
21 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
93
2
0
21 May 2024
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle
  Routing Problems
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
Zhenwei Wang
Ruibin Bai
Fazlullah Khan
Ender Özcan
Tiehua Zhang
GNN
101
2
0
21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks:
  Heterophily, Over-smoothing, and Over-squashing
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang
Yu Guang Wang
Ming Li
Pietro Lio
130
31
0
21 May 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
90
2
0
20 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
166
20
0
20 May 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph
  Clustering
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Li Sun
Zhenhao Huang
Hao Peng
Yujie Wang
Chunyang Liu
Philip S. Yu
GNN
93
11
0
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Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
261
1
0
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SeBot: Structural Entropy Guided Multi-View Contrastive Learning for
  Social Bot Detection
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection
Yingguang Yang
Qi Wu
Buyun He
Hao Peng
Renyu Yang
Zhifeng Hao
Yong Liao
AAML
113
9
0
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Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
106
8
0
17 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Zhiwei Zhang
Min Lin
Enyan Dai
Suhang Wang
AAML
78
16
0
17 May 2024
Harnessing Collective Structure Knowledge in Data Augmentation for Graph
  Neural Networks
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks
Rongrong Ma
Guansong Pang
Ling-Hao Chen
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93
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0
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ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph
  Neural Networks
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
Zhehan Zhao
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Lixiang Xu
Edwin R. Hancock
95
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0
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A Survey of Generative Techniques for Spatial-Temporal Data Mining
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang
Haixin Wang
Cheng Long
Liangcai Su
Xingwei He
...
Tailin Wu
Hongzhi Yin
Siu-Ming Yiu
Qi Tian
Christian S. Jensen
AI4TS
95
9
0
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SMUG-Explain: A Framework for Symbolic Music Graph Explanations
SMUG-Explain: A Framework for Symbolic Music Graph Explanations
E. Karystinaios
Francesco Foscarin
Gerhard Widmer
99
1
0
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Perception-Inspired Graph Convolution for Music Understanding Tasks
Perception-Inspired Graph Convolution for Music Understanding Tasks
E. Karystinaios
Francesco Foscarin
Gerhard Widmer
64
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Facilitating Feature and Topology Lightweighting: An Ethereum
  Transaction Graph Compression Method for Malicious Account Detection
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
Jiajun Zhou
Xuanze Chen
Sheng Gong
Chenkai Hu
Chengxiang Jin
Shanqing Yu
Qi Xuan
70
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Graph neural networks for power grid operational risk assessment under
  evolving grid topology
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Pranav M. Karve
Sankaran Mahadevan
47
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OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century
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OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
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Ze Zhao
Luyu Han
Xiaoying Gan
Yuntao Zhou
Lei Zhou
Luoyi Fu
Xinbing Wang
Cheng Zhou
Jing Zhang
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CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous
  Information Network
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Yuanzhen Xie
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Di Niu
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GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
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Md Mostafijur Rahman
R. Marculescu
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