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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,522 papers shown

Title
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Helen Zhou 79 6 0 24 May 2023
Towards Foundation Models for Relational Databases [Vision Paper] Liane Vogel Benjamin Hilprecht Carsten Binnig LMTD 47 10 0 24 May 2023
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing Yi Hu Chao Zhang Edward Andert Harshul Singh Aviral Shrivastava James Laudon Yan-Quan Zhou Bob Iannucci Carlee Joe-Wong 41 1 0 23 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang Ying Jin Emmanuel Candès J. Leskovec 265 63 0 23 May 2023
CongFu: Conditional Graph Fusion for Drug Synergy Prediction Oleksii Tsepa Bohdan Naida Anna Goldenberg Bo Wang 40 1 0 23 May 2023
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings William Brannon Wonjune Kang S. Fulay Hang Jiang Brandon Roy Dwaipayan Roy Jad Kabbara SSL 83 23 0 23 May 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification Ammar Ahmed Anwar Said Mudassir Shabbir X. Koutsoukos GNN 41 2 0 23 May 2023
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation Di Wu Christof Monz 118 9 0 23 May 2023
Message Intercommunication for Inductive Relation Reasoning K. Liang Lingyuan Meng Sihang Zhou Siwei Wang Wenxuan Tu Yue Liu Meng Liu Xinwang Liu LRM 90 13 0 23 May 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu Lin Zhang Xuanzhou Liu Jiaqi Sun Yue Zhao Haiqing Yang Bei Yu GNN 78 9 0 23 May 2023
On Structural Expressive Power of Graph Transformers Wenhao Zhu Tianyu Wen Guojie Song Liangji Wang Bo Zheng 72 15 0 23 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 96 29 0 23 May 2023
Continual Learning on Dynamic Graphs via Parameter Isolation Peiyan Zhang Yuchen Yan Chaozhuo Li Senzhang Wang Xing Xie Guojie Song Sunghun Kim 116 40 0 23 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training Utku Ozbulak Hyun Jung Lee Beril Boga Esla Timothy Anzaku Ho-min Park Arnout Van Messem W. D. Neve J. Vankerschaver DiffM 107 38 0 23 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 112 3 0 23 May 2023
Adaptive Face Recognition Using Adversarial Information Network Mei Wang Weihong Deng OOD CVBM 65 5 0 23 May 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian Jihai Dong Jintang Li Wenlong Zhao Xiaolong Xu Baokun Wang Bowen Song Changhua Meng Tianyi Zhang Liang Chen 84 31 0 23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic Graphs Cheng Wu Chao-Hong Wang Jingcao Xu Ziwei Fang Tiankai Gu Changping Wang Yang Song Kai Zheng Xiaowei Wang Guorui Zhou AI4TS 75 6 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 120 37 0 22 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 80 14 0 22 May 2023
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction Adrian Kochsiek Apoorv Saxena Inderjeet Nair Rainer Gemulla 94 10 0 22 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 74 17 0 22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 94 4 0 22 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning Jiahao Chen Yurou Liu Jiangmeng Li Fuchun Sun Jirong Wen 56 1 0 22 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 64 1 0 21 May 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation Eli Chien Jiong Zhang Cho-Jui Hsieh Jyun-Yu Jiang Wei-Cheng Chang O. Milenkovic Hsiang-Fu Yu 86 10 0 21 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 97 4 0 21 May 2023
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network Chen Zhao Zhihui Xu Guang-Uei Hung Weihua Zhou 39 7 0 21 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 98 9 0 21 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 91 19 0 20 May 2023
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion Mingli Xu Jing Zhang 53 3 0 20 May 2023
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng Jiang 89 20 0 20 May 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN Shiyu Liu Linsen Wei Shaogao Lv Ming Li MLT 76 0 0 20 May 2023
Learning Continually on a Sequence of Graphs -- The Dynamical System Way Krishnan Raghavan Prasanna Balaprakash 83 0 0 19 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 82 13 0 19 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 51 7 0 19 May 2023
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain Poupak Azad Baris Coskunuzer Murat Kantarcioglu Cüneyt Gürcan Akçora 133 0 0 18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Kai Zou GNN 56 17 0 18 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 112 1 0 18 May 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu Haitao Lin Yufei Huang Tianyu Fan Stan Z. Li 96 29 0 18 May 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 134 49 0 18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 113 10 0 18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 97 5 0 17 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 131 71 0 17 May 2023
Predicting Tweet Engagement with Graph Neural Networks Marco Arazzi Marco Cotogni Antonino Nocera L. Virgili 40 6 0 17 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 80 3 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 81 4 0 16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings Roberto Martínez-Cruz Debanjan Mahata Alvaro J. López-López J. Portela 137 4 0 16 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 87 59 0 15 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks Alessio Micheli Domenico Tortorella 100 8 0 14 May 2023