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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 138 1 0 25 Jul 2024
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? Johannes Kiechle Daniel M. Lang Stefan M. Fischer Lina Felsner J. Peeken Julia A. Schnabel MedIm 77 0 0 24 Jul 2024
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding Zhe Wang Sheng Zhou Jiawei Chen Zhen Zhang Binbin Hu Yan Feng Chun-Yen Chen Can Wang AI4TS 87 5 0 24 Jul 2024
Online Social Network Data-Driven Early Detection on Short-Form Video Addiction Fang-Yu Kuo 46 0 0 24 Jul 2024
Curriculum Negative Mining For Temporal Networks Ziyue Chen Tongya Zheng Mingli Song 79 2 0 24 Jul 2024
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation Yiping Zhang Yuntao Shou Tao Meng Wei Ai Keqin Li CVBM 110 10 0 23 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 94 8 0 22 Jul 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 91 3 0 22 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 137 0 0 21 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 116 0 0 21 Jul 2024
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation Lirong Wu Yunfan Liu Haitao Lin Yufei Huang Stan Z. Li 93 1 0 20 Jul 2024
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs Sumeyye Bas Kıymet Kaya Resul Tugay Ş. Öğüdücü 45 0 0 20 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 102 4 0 20 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 105 4 0 19 Jul 2024
GLAudio Listens to the Sound of the Graph Aurelio Sulser Johann Wenckstern Clara Kuempel 42 0 0 19 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 96 2 0 19 Jul 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning Yifan Wang Xiao Luo Chong Chen Xian-Sheng Hua Ming Zhang Wei Ju 83 24 0 19 Jul 2024
Anticipatory Task and Motion Planning Roshan Dhakal Duc M. Nguyen Tom Silver Xuesu Xiao Gregory J. Stein 65 1 0 18 Jul 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning Qiuyu Zhu Liang Zhang Qianxiong Xu Kaijun Liu Cheng Long Xiaoyang Wang 89 1 0 18 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing E. Karystinaios Gerhard Widmer 67 1 0 17 Jul 2024
Generating 3D House Wireframes with Semantics Xueqi Ma Yilin Liu Wenjun Zhou Ruowei Wang Hui Huang 3DV 86 0 0 17 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 111 2 0 16 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 119 4 0 16 Jul 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 93 8 0 16 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 86 1 0 16 Jul 2024
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Zhenhua Huang Kunhao Li Shaojie Wang Zhaohong Jia Wentao Zhu Sharad Mehrotra GNN 92 0 0 16 Jul 2024
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation Liu He Daniel G. Aliaga AI4TS 94 9 0 16 Jul 2024
Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning Ziteng Wang YaXuan He Bin Liu GNN 82 0 0 15 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam Debarghya Ghoshdastidar Stephan Günnemann AAML 122 3 0 15 Jul 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation Luying Zhong Yueyang Pi Zheyi Chen Zhengxin Yu Wang Miao Xing Chen Geyong Min FedML 127 1 0 14 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Xiwei Xu Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 143 14 0 13 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 87 4 0 12 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 132 13 0 12 Jul 2024
Robust Generalization of Graph Neural Networks for Carrier Scheduling Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Dejan Kostic Magnus Boman Thiemo Voigt 58 0 0 11 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 122 1 0 11 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 105 5 0 10 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 142 9 0 10 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs Ahmad Naser Eddin Jacopo Bono David Aparício Hugo Ferreira Pedro Ribeiro P. Bizarro GNN 70 0 0 10 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 136 3 0 10 Jul 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 131 18 0 10 Jul 2024
Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics Ruiran Su J. Pierrehumbert 80 1 0 09 Jul 2024
VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction Thanh-Dat Nguyen Tung Do-Viet Hung Nguyen-Duy Tuan-Hai Luu Hung Le Bach Le Patanamon Thongtanunam SyDa 51 1 0 09 Jul 2024
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision Chengjie Wang Chengming Xu Zhenye Gan Jianlong Hu Wenbing Zhu Lizhuag Ma 75 1 0 09 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 118 5 0 09 Jul 2024
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications Maoxin Ji Qiong Wu Pingyi Fan Nan Cheng Wen Chen Jiangzhou Wang Khaled B. Letaief GNN 93 27 0 09 Jul 2024
A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs Kazi Hasan Thomas Trappenberg I. Haque AI4CE 46 0 0 06 Jul 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs Zhengdao Li Yong Cao Kefan Shuai Yiming Miao Kai Hwang 128 2 0 06 Jul 2024
Benchmarking GNNs Using Lightning Network Data Rainer Feichtinger Florian Grötschla Lioba Heimbach Roger Wattenhofer 34 0 0 05 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 71 3 0 05 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 82 4 0 04 Jul 2024