Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning

1 code implementation • 13 May 2022 • Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, dianhai yu

Notably, it averagely brings about 10% relative improvement to triplet-based embedding methods on OGBL-WikiKG2 and takes 5%-83% time to achieve comparable results as the state-of-the-art GC-OTE.

Knowledge Graphs Representation Learning

NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC

no code implementations • 5 Jul 2021 • Weiyue Su, Zeyang Fang, Hui Zhong, Huijuan Wang, Siming Dai, Zhengjie Huang, Yunsheng Shi, Shikun Feng, Zeyu Chen

In addition to the representations, we also use various statistical probabilities among the head entities, the relations and the tail entities for the final prediction.

Feature Engineering Question Answering +2

Adam revisited: a weighted past gradients perspective

no code implementations • 1 Jan 2021 • Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen

Though many algorithms, such as AMSGRAD and ADAMNC, have been proposed to fix the non-convergence issues, achieving a data-dependent regret bound similar to or better than ADAGRAD is still a challenge to these methods.

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

2 code implementations • 8 Sep 2020 • Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjin Wang, Yu Sun

Graph neural network (GNN) and label propagation algorithm (LPA) are both message passing algorithms, which have achieved superior performance in semi-supervised classification.

General Classification Node Classification +1