Masked Label Prediction: Unified Message Passing Model for
Semi-Supervised Classification

Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

8 September 2020

Papers citing "Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification"

18 / 68 papers shown

Title
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 19 1 0 12 Jul 2022
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning Max B. Paulus Giulia Zarpellon Andreas Krause Laurent Charlin Chris J. Maddison 17 57 0 27 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 22 97 0 09 Jun 2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence H. Nguyen Michael Clement Boris Mansencal Pierrick Coupé MedIm 17 6 0 07 Jun 2022
Deep Representations for Time-varying Brain Datasets Sikun Lin Shuyun Tang Scott T. Grafton Ambuj K. Singh AI4CE 12 6 0 23 May 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 26 237 0 07 Feb 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 37 78 0 26 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng-Wei Zhang Zengfeng Huang David Wipf AAML 50 12 0 14 Oct 2021
Neural Link Prediction with Walk Pooling Liming Pan Chen Shi Ivan Dokmanić 18 51 0 08 Oct 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 19 61 0 24 Aug 2021
LOKI: Long Term and Key Intentions for Trajectory Prediction Harshayu Girase Haiming Gang Srikanth Malla Jiachen Li Akira Kanehara K. Mangalam Chiho Choi 23 79 0 18 Aug 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 0 14 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 21 431 0 09 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 19 302 0 08 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 38 8 0 05 Jun 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 15 119 0 14 Apr 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018