Node Duplication Improves Cold-start Link Prediction

15 February 2024

Papers citing "Node Duplication Improves Cold-start Link Prediction"

25 / 25 papers shown

Title
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 153 0 0 16 Mar 2025
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 80 38 0 30 Sep 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 47 82 0 06 Jun 2022
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 44 27 0 06 Dec 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 75 91 0 08 Sep 2021
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 92 102 0 12 Aug 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 47 97 0 03 Jun 2021
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning Zeyuan Allen-Zhu Yuanzhi Li FedML 100 362 0 17 Dec 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 45 188 0 30 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 88 443 0 28 Sep 2020
Long-tail Session-based Recommendation Siyi Liu Yujia Zheng 70 99 0 24 Jul 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 188 560 0 21 Jul 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 81 409 0 11 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 74 391 0 22 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 175 2,687 0 02 May 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 309 461 0 11 Mar 2020
Few-Shot Knowledge Graph Completion Chuxu Zhang Huaxiu Yao Chao Huang Meng Jiang Z. Li Nitesh Chawla 46 199 0 26 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 105 827 0 08 Nov 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 48 505 0 26 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 69 1,323 0 25 Jul 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 93 196 0 05 Jun 2019
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 81 381 0 03 Apr 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 54 1,912 0 27 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 306 19,991 0 30 Oct 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 92 1,253 0 07 Jun 2017