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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017
7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,261 papers shown
Title
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
Cunquan Qu
214
0
0
24 Dec 2025
GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
Mikołaj Sacha
Hammad Jafri
Mattie Terzolo
Ayan Sinha
Andrew Rabinovich
44
0
0
02 Dec 2025
Credal Graph Neural Networks
Credal Graph Neural Networks
Matteo Tolloso
Davide Bacciu
UQCV
241
0
0
02 Dec 2025
FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
Junpeng Wu
Pinheng Zong
12
0
0
02 Dec 2025
MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention
Pedro M. P. Curvo
Jan-Willem van de Meent
Maksim Zhdanov
AI4CE
48
0
0
01 Dec 2025
Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems
Louis Lacoste
Pierre Barbillon
Sophie Donnet
40
0
0
01 Dec 2025
Heuristic algorithms for the stochastic critical node detection problem
Heuristic algorithms for the stochastic critical node detection problem
Tuguldur Bayarsaikhan
Altannar Chinchuluun
Ashwin Arulselvan
Panos Pardalos
20
0
0
01 Dec 2025
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors
Mulin Tian
Ajitesh Srivastava
AI4TS
36
0
0
29 Nov 2025
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
Jiahao Tian
Zhenkai Wang
12
0
0
29 Nov 2025
ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining
ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining
Bharat Sharman
Elkafi Hassini
60
0
0
28 Nov 2025
PISA: Prioritized Invariant Subgraph Aggregation
PISA: Prioritized Invariant Subgraph Aggregation
Ali Ghasemi
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
OOD
72
0
0
27 Nov 2025
BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch
BrepGPT: Autoregressive B-rep Generation with Voronoi Half-PatchACM Transactions on Graphics (TOG), 2025
Pu Li
Wenhao Zhang
Weize Quan
Biao Zhang
Peter Wonka
Dong-ming Yan
16
0
0
27 Nov 2025
ARES: Anomaly Recognition Model For Edge Streams
ARES: Anomaly Recognition Model For Edge Streams
Simone Mungari
Albert Bifet
Giuseppe Manco
Bernhard Pfahringer
12
0
0
27 Nov 2025
IVGAE: Handling Incomplete Heterogeneous Data with a Variational Graph Autoencoder
IVGAE: Handling Incomplete Heterogeneous Data with a Variational Graph Autoencoder
Youran Zhou
Mohamed Reda Bouadjenek
Sunil Aryal
48
0
0
27 Nov 2025
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
Kay Liu
Yuwei Han
Haoyan Xu
Henry Peng Zou
Yue Zhao
Philip S. Yu
92
0
0
26 Nov 2025
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
Kaifeng Hong
Yinglong Zhang
Xiaoying Hong
Xuewen Xia
Xing Xu
170
0
0
26 Nov 2025
InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning
InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning
Bin Sun
Rengang Zhang
Zhiteng Chao
Zizhen Liu
Jianan Mu
Jing Ye
Huawei Li
20
0
0
25 Nov 2025
Towards A Tri-View Diffusion Framework for Recommendation
Towards A Tri-View Diffusion Framework for Recommendation
Ximing Chen
Pui Ieng Lei
Yijun Sheng
Yanyan Liu
Zhiguo Gong
DiffM
168
0
0
25 Nov 2025
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Haoran Zheng
Renchi Yang
Yubo Zhou
Jianliang Xu
80
0
0
25 Nov 2025
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Lian Shen
Zhendan Chen
Yinhui jiang
Meijia Song
Ziming Su
Juan Liu
Xiangrong Liu
60
0
0
25 Nov 2025
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
Rui Xue
Shichao Zhu
Liang Qin
Guangmou Pan
Yang Song
Tianfu Wu
GNN
164
0
0
25 Nov 2025
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
Songbo Wang
Renchi Yang
Yurui Lai
Xiaoyang Lin
Tsz Nam Chan
SSL
309
0
0
25 Nov 2025
Short-Range Oversquashing
Short-Range Oversquashing
Yaaqov Mishayev
Yonatan Sverdlov
Tal Amir
Nadav Dym
129
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0
25 Nov 2025
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence DataAdvanced Industrial Conference on Telecommunications (AICT), 2025
Fang Wang
Lance Kosca
Adrienne Kosca
Marko Gacesa
Ernesto Damiani
AI4CE
227
0
0
24 Nov 2025
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Zimo Yan
Zheng Xie
Chang-rui Liu
Y. X. R. Wang
59
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0
24 Nov 2025
GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
Zesheng Liu
Maryam Rahnemoonfar
60
0
0
24 Nov 2025
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
Bo Jiang
Weijun Zhao
Beibei Wang
Xiao Wang
Jin Tang
AAML
139
0
0
24 Nov 2025
GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis
GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis
Kiran Thorat
Hongwu Peng
Yuebo Luo
Xi Xie
Shaoyi Huang
...
Jiahui Zhao
Yingjie Li
Zhijie Shi
Cunxi Yu
Caiwen Ding
106
1
0
23 Nov 2025
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
Randy Davila
Beyzanur Ispir
GNNAI4CE
177
0
0
22 Nov 2025
AutoGraphAD: A novel approach using Variational Graph Autoencoders for anomalous network flow detection
AutoGraphAD: A novel approach using Variational Graph Autoencoders for anomalous network flow detection
Georgios Anyfantis
Pere Barlet-Ros
140
0
0
21 Nov 2025
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
Zhongjie Dai
Tao Feng
Jiaxuan You
73
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0
21 Nov 2025
Ternary Gamma Semirings as a Novel Algebraic Framework for Learnable Symbolic Reasoning
Ternary Gamma Semirings as a Novel Algebraic Framework for Learnable Symbolic Reasoning
Chandrasekhar Gokavarapu
D. Madhusudhana Rao
NAI
40
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0
21 Nov 2025
Graph Neural Networks for Surgical Scene Segmentation
Yihan Li
Nikhil Churamani
M. Robu
I. Luengo
Danail Stoyanov
47
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0
20 Nov 2025
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
Haotian Xu
Yuning You
Tengfei Ma
88
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0
20 Nov 2025
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
322
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0
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LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
Huseyin Goksu
114
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SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome
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Dabin Jeong
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Ciro Ramírez-Suástegui
Marie Moullet
Kevin Ly
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Daniyal Jafree
Lloyd Steele
Vijaya Baskar MS
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Mohammad Lotfollahi
96
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KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
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Huseyin Goksu
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Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
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Yuxiao Yang
Yueming Wang
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InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network Predictions
InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network PredictionsInternational Conference on Information Visualisation (IV), 2025
TC Singh
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68
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Self-Adaptive Graph Mixture of Models
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Mohit Meena
Yash Punjabi
Abhishek A
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Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
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Edge-aware baselines for ogbn-proteins in PyTorch Geometric: species-wise normalization, post-hoc calibration, and cost-accuracy trade-offs
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Real-time prediction of breast cancer sites using deformation-aware graph neural network
Real-time prediction of breast cancer sites using deformation-aware graph neural networkEngineering applications of artificial intelligence (EAAI), 2025
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Yong-Min Shin
Minwoo Shin
Jihun Kim
Sunghwan Lim
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Kyungho Yoon
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168
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Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
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FuseSampleAgg: Fused Neighbor Sampling and Aggregation for Mini-batch GNNs
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GRAPHTEXTACK: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
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Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
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VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs
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