GMNN: Graph Markov Neural Networks

15 May 2019

Jian Tang

Papers citing "GMNN: Graph Markov Neural Networks"

44 / 44 papers shown

Title
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing Mounir Ghogho 35 0 0 21 Jul 2024
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction Hao Miao Senzhang Wang Meiyue Zhang Diansheng Guo Funing Sun Fan Yang 47 1 0 23 Apr 2024
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 27 21 0 06 Dec 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog David Tena Cucala Bernardo Cuenca Grau B. Motik Egor V. Kostylev 22 8 0 29 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 22 4 0 17 May 2023
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents Pirmin Lemberger Antoine Saillenfest GNN 28 0 0 03 Apr 2023
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 23 1 0 05 Dec 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 30 131 0 26 Oct 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 40 8 0 12 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie R. Kannan C.-C. Jay Kuo 24 2 0 19 Apr 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 13 18 0 15 Apr 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 14 3 0 28 Feb 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 19 32 0 20 Jan 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 23 10 0 16 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Yuxuan Liang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 26 3 0 01 Dec 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 17 5 0 08 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 18 3 0 29 Oct 2021
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media Yizhou Zhang Karishma Sharma Y. Liu 19 30 0 28 Oct 2021
Multiscale Laplacian Learning E. Merkurjev D. Nguyen Guo-Wei Wei 48 4 0 08 Sep 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 34 21 0 28 Apr 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 40 6 0 27 Jan 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 19 18 0 24 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation Xueyi Li Tianfei Zhou Jianwu Li Yi Zhou Zhaoxiang Zhang 22 122 0 09 Dec 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 19 167 0 22 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng-Long Jiang Taeho Jung Ryan Karl Tong Zhao FedML 11 31 0 15 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 25 742 0 08 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 21 72 0 04 Sep 2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs D. Wang Zhihan Zhang Yihong Ma Tong Zhao Tianwen Jiang Nitesh V. Chawla Meng-Long Jiang 16 8 0 25 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 16 106 0 05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 22 480 0 05 Jul 2020
Residual Correlation in Graph Neural Network Regression J. Jia Austin R. Benson 25 25 0 19 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 29 566 0 04 Feb 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo-wen Li Yuan Qi Le Song AI4CE 17 111 0 29 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 42 276 0 29 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 19 149 0 02 Dec 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks Tengfei Ma Junyuan Shang Cao Xiao Jimeng Sun GNN 19 13 0 04 Oct 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Juho Kannala Jian Tang 33 62 0 25 Sep 2019