activity
20222024
most citedToward Degree Bias in Embedding-Based Knowledge Graph Completion

23 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Sub-graph Based Diffusion Model for Link Prediction

Hang Li, Wei Jin, Geri Skenderi +4

Denoising Diffusion Probabilistic Models (DDPMs) represent a contemporary class of generative models with exceptional qualities in both synthesis and maximizing the data likelihood…

cs.IR2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation

Juanhui Li, Haoyu Han, Zhikai Chen +4

Session-based recommendation has gained increasing attention in recent years, with its aim to offer tailored suggestions based on users' historical behaviors within sessions. To ad…

cs.LG20231 cited

Distance-Based Propagation for Efficient Knowledge Graph Reasoning

Harry Shomer, Yao Ma, Juanhui Li +3

Knowledge graph completion (KGC) aims to predict unseen edges in knowledge graphs (KGs), resulting in the discovery of new facts. A new class of methods have been proposed to tackl…

cs.LG202323 cited

Toward Degree Bias in Embedding-Based Knowledge Graph Completion

Harry Shomer, Wei Jin, Wentao Wang +1

A fundamental task for knowledge graphs (KGs) is knowledge graph completion (KGC). It aims to predict unseen edges by learning representations for all the entities and relations in…

cs.LG20221 cited

Learning Representations for Hyper-Relational Knowledge Graphs

Harry Shomer, Wei Jin, Juanhui Li +2

Knowledge graphs (KGs) have gained prominence for their ability to learn representations for uni-relational facts. Recently, research has focused on modeling hyper-relational facts…