Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,697 papers shown

Title
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning Cameron Diao Kaixiong Zhou Zirui Liu Xiao Huang Xia Hu 36 14 0 20 Dec 2022
Tuning the Tail Latency of Distributed Queries Using Replication Nathan Ng Hung-Cuong Le Marco Serafini 26 0 0 20 Dec 2022
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches Maciej Krzywda S. Lukasik Amir H. Gandomi GNN 43 10 0 20 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 34 8 0 20 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 37 0 0 19 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 37 15 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 45 52 0 18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 58 5 0 17 Dec 2022
Analyzing the Traffic of MANETs using Graph Neural Networks Taha Tekdogan GNN 16 1 0 17 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 49 12 0 16 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 49 13 0 16 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 60 19 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 20 35 0 15 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 57 56 0 15 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 47 5 0 13 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition Qin Li Xu Yang Yong Wang Yuankai Wu Deqiang He 51 10 0 12 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 47 26 0 11 Dec 2022
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition Peyman Baghershahi Reshad Hosseini H. Moradi GNN 24 3 0 11 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition Junwei Su GNN 27 0 0 11 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation A. Einizade S. Nasiri S. H. Sardouie G. Clifford 35 14 0 09 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 28 0 0 09 Dec 2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Suhwan Cho Sungmin Woo Sungjun Jang Sangyoun Lee 34 17 0 09 Dec 2022
Augmenting Knowledge Transfer across Graphs Yuzhen Mao Jianhui Sun Dawei Zhou 43 1 0 09 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 36 6 0 09 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 62 5 0 08 Dec 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs Preslav Nakov Mingzhe Li Shen Gao Rui Yan Xin Gao Xiangliang Zhang 30 12 0 08 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 42 16 0 07 Dec 2022
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors Ruixuan Wang Fred Lin Daniel Moore Sriram Sankar Xun Jiao 14 1 0 07 Dec 2022
Dynamic Graph Node Classification via Time Augmentation Jiarui Sun Mengting Gu Chin-Chia Michael Yeh Yujie Fan Girish Chowdhary Wei Zhang 26 1 0 07 Dec 2022
Data Imputation with Iterative Graph Reconstruction J. Zhong Weiwei Ye Ning Gui 21 11 0 06 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 29 9 0 05 Dec 2022
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 34 48 0 05 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes Wei Duan Junyu Xuan Maoying Qiao Jie Lu 45 8 0 05 Dec 2022
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN Shuhe Wang Yuxian Meng Rongbin Ouyang Jiwei Li Tianwei Zhang Lingjuan Lyu Guoyin Wang 43 9 0 05 Dec 2022
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren Yifu Yuan Yuxin Wu Xiaxuan Gao Yewen Wang Yizhou Sun 26 3 0 05 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 41 18 0 04 Dec 2022
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision Harry Freeman Mohamad Qadri Abhisesh Silwal Paul O'Connor Zachary B. Rubinstein D. Cooley George Kantor 36 3 0 03 Dec 2022
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 34 0 0 02 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning Yeongwoo Song Hawoong Jeong OOD AI4CE 33 1 0 02 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine C. Leckie 37 29 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 52 87 0 02 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 42 4 0 02 Dec 2022
Architectural Implications of Embedding Dimension during GCN on CPU and GPU M. Adiletta David Brooks Gu-Yeon Wei GNN 17 1 0 01 Dec 2022
Automated Coronary Arteries Labeling Via Geometric Deep Learning Yadan Li M. Armin Simon Denman David Ahmedt-Aristizabal 36 2 0 01 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada Levent Burak Kara 45 12 0 01 Dec 2022
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description Chunyu Ma Zhihan Zhou Han Liu D. Koslicki 26 16 0 30 Nov 2022
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 55 27 0 30 Nov 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 44 32 0 30 Nov 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 28 2 0 30 Nov 2022