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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 / 2,061 papers shown
Title
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
21
0
0
14 May 2025
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu-Jie Zhang
James T. Kwok
36
0
0
13 May 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang
Xiao Yan
Shiyu Jin
Quanqing Xu
Chuang Hu
Yuanyuan Zhu
Bo Du
Jia Wu
Wentao Zhang
34
0
0
13 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness
Yoonhyuk Choi
Chong-Kwon Kim
34
0
0
13 May 2025
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
Tagging fully hadronic exotic decays of the vectorlike B\mathbf{B}B quark using a graph neural network
Jai Bardhan
Tanumoy Mandal
Subhadip Mitra
Cyrin Neeraj
Mihir Rawat
28
0
0
12 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores
Fused3S: Fast Sparse Attention on Tensor Cores
Zitong Li
Aparna Chandramowlishwaran
GNN
47
0
0
12 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier
Sourav Medya
BDL
49
0
0
11 May 2025
Multi-Modal Molecular Representation Learning via Structure Awareness
Multi-Modal Molecular Representation Learning via Structure Awareness
Rong Yin
Ruyue Liu
Xiaoshuai Hao
Xingrui Zhou
Yong-Jin Liu
Can Ma
Weiping Wang
29
0
0
09 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
56
0
0
07 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
51
0
0
06 May 2025
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam
Sayedmohammadreza Rastegari
M. T. Masouleh
Ahmad Kalhor
34
0
0
05 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
38
0
0
04 May 2025
Deep Representation Learning for Electronic Design Automation
Deep Representation Learning for Electronic Design Automation
Pratik Shrestha
Saran Phatharodom
Alec Aversa
David Blankenship
Zhengfeng Wu
Ioannis Savidis
22
0
0
04 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
166
0
0
04 May 2025
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Wenxin Zhang
Ding Xu
Xi Xuan
Lei Jiang
Guangzhen Yao
Renda Han
Xiangxiang Lang
Cuicui Luo
157
0
0
02 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Hyun Lee
Chris Yi
Maminur Islam
B.D.S. Aritra
33
0
0
02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
44
0
0
01 May 2025
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNN
AI4CE
53
0
0
30 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
154
1
0
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Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
87
1
0
29 Apr 2025
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
Chengkai Yang
Xingping Dong
Xiaofen Zong
31
0
0
29 Apr 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
Zechao Li
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
44
0
0
29 Apr 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
46
0
0
29 Apr 2025
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi
Dhruv Shah
Manasi S. Patwardhan
L. Vig
Gautam M. Shroff
LLMAG
AI4CE
164
0
0
28 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
185
0
0
25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Felix Burr
Marcel Hoffmann
A. Scherp
SSL
195
0
0
25 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
37
0
0
25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Juan Carlos Climent Pardo
42
0
0
24 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
52
0
0
24 Apr 2025
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
Finn Gueterbock
Raúl Santos-Rodríguez
Jeffrey N Clark
29
0
0
23 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
Mao Wang
Tao Wu
Xingping Xian
Shaojie Qiao
Weina Niu
Canyixing Cui
34
0
0
23 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
GNN
51
0
0
22 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
AI4TS
31
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0
22 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
32
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Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
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FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
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Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
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FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
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Xuzhao Li
Bohan Zhang
J. Zhang
32
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On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction
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Zhixuan Shao
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Hongda Shen
29
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Deep Learning-based Intrusion Detection Systems: A Survey
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Jiabao Gao
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Hai Wan
Xibin Zhao
26
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BRepFormer: Transformer-Based B-rep Geometric Feature Recognition
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Sparsity-Aware Communication for Distributed Graph Neural Network Training
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Oguz Selvitopi
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GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
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40
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LGIN: Defining an Approximately Powerful Hyperbolic GNN
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Omkumar CU
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Improvement Graph Convolution Collaborative Filtering with Weighted addition input
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Rethinking Graph Structure Learning in the Era of LLMs
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Xunkai Li
Guang Zeng
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49
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Causal invariant geographic network representations with feature and structural distribution shifts
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Silu He
Qinyao Luo
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OOD
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AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL
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Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
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Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
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