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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
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection Xiangyu Dong Xingyi Zhang Sibo Wang GNN 94 18 0 04 Oct 2023
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition Angelica Simonetti Ferdinando Zanchetta AI4CE 28 0 0 04 Oct 2023
Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks Zihan Chen Jingyi Sun Rong Liu Feng Mai 57 1 0 04 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs Christian Koke Zorah Lähner 114 11 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 150 15 0 03 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 98 3 0 03 Oct 2023
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng Farhad Shirani Tianchun Wang Wei Cheng Zhuomin Chen Haifeng Chen Hua Wei Dongsheng Luo 103 12 0 03 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 103 14 0 03 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 110 33 0 02 Oct 2023
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods E. Zappala Daniel Levine Shiyang Zhang S. Rizvi Sacha Lévy David van Dijk 69 1 0 02 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 71 1 0 02 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 114 26 0 02 Oct 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 78 1 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 101 1 0 02 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 211 80 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 68 10 0 02 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Leilei Gan Zeke Wang GNN 62 5 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 100 17 0 01 Oct 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 30 0 01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 101 80 0 01 Oct 2023
Interpretable Imitation Learning with Dynamic Causal Relations ianxiang Zhao Wenchao Yu Suhang Wang Lu Wang Xiang Zhang Yuncong Chen Yanchi Liu Wei Cheng Haifeng Chen CML 71 2 0 30 Sep 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Zorah Lähner GNN 59 1 0 30 Sep 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 128 1 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Helen Zhou 113 0 0 29 Sep 2023
One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 138 132 0 29 Sep 2023
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers Minyang Tian Eliu A. Huerta Huihuo Zheng 55 0 0 29 Sep 2023
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network Siji Chen Yanshen Sun Peihan Li Lifeng Zhou Chang-Tien Lu 83 2 0 29 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 121 15 0 29 Sep 2023
Meta-Path Learning for Multi-relational Graph Neural Networks Francesco Ferrini Antonio Longa Takahiro Miki Manfred Jaeger 135 6 0 29 Sep 2023
Controlling Continuous Relaxation for Combinatorial Optimization Yuma Ichikawa 92 6 0 29 Sep 2023
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? Jin Huang Xingjian Zhang Qiaozhu Mei Jiaqi Ma 100 15 0 28 Sep 2023
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection Jiaying Wu Xinyu Chen Haobin Yang Qi Zhao Yuhui Shi AAML 85 12 0 28 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification Niful Islam Humaira Noor Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam 69 9 0 28 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis Chen Zhao Zehao Dong Yixin Chen Xuan Zhang Roger D. Chamberlain GNN 85 2 0 27 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 159 5 0 27 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 97 3 0 27 Sep 2023
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression Kyriaki-Margarita Bintsi Tamara T. Mueller Sophie Starck V. Baltatzis A. Hammers Daniel Rueckert 51 2 0 26 Sep 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion H. Sahbi Sebastien Deschamps 88 0 0 26 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 97 18 0 26 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 91 6 0 26 Sep 2023
Provable Training for Graph Contrastive Learning Yue Yu Tianlin Li Mengmei Zhang Nian Liu Chuan Shi 106 11 0 25 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 182 15 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding Leyi Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 97 6 0 24 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading Yuecheng Cai J. Jelovica AI4CE 63 0 0 22 Sep 2023
Recurrent Temporal Revision Graph Networks Yizhou Chen Anxiang Zeng Guangda Huzhang Qingtao Yu Kerui Zhang Yuan Cao Kangle Wu Han Yu Zhiming Zhou 80 3 0 22 Sep 2023
Lovelock: Towards Smart NIC-hosted Clusters Seo Jin Park Ramesh Govindan Kai Shen David E. Culler Fatma Özcan Geon-Woo Kim Henry M. Levy GNN 40 5 0 22 Sep 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 61 4 0 21 Sep 2023
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 100 4 0 21 Sep 2023
A Comprehensive Review of Community Detection in Graphs Jiakang Li Songlai Ning Zhihao Shuai Yuan Tan Yifan Jia ... Yongxin Ni Haifeng Qiu Jiayu Yang Y. Lu Yonggang Lu GNN 87 26 0 21 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 69 0 0 20 Sep 2023