22 citations · 23 across the 8 of their papers we have counts for
8 papers
Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction
Sen Zhao, Cheng Liu, Shuyin Xia +4
Link prediction aims to identify potential or future connections within a given graph structure. Position information is essential for link prediction, as it distinguishes homogene…
Symmetry-Projected Spin-AGP Methods Applied to Spin Systems
Zhiyuan Liu, Thomas M. Henderson, Gustavo E. Scuseria
Symmetry-projected wave function methods capture static correlation by breaking and restoring the symmetries of a system. In this article, we present the symmetry-projected spin an…
OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning
Zhiyuan Liu, Yuting Zhang, Feng Liu +3
Multimodal Large Language Models (MLLMs) have gained significant traction for their ability to process diverse input data types and generate coherent, contextually relevant outputs…
WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion Models
Zhiyuan Liu, Shuhang Zhang, Qingyu Liu +2
Fine-grained radio map presents communication parameters of interest, e.g., received signal strength, at every point across a large geographical region. It can be leveraged to impr…
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia, Xinjun Ma, Zhiyuan Liu +3
Graph Neural Networks (GNNs) have demonstrated significant achievements in processing graph data, yet scalability remains a substantial challenge. To address this, numerous graph c…
LLM-Oriented Retrieval Tuner
Si Sun, Hanqing Zhang, Zhiyuan Liu +2
Dense Retrieval (DR) is now considered as a promising tool to enhance the memorization capacity of Large Language Models (LLM) such as GPT3 and GPT-4 by incorporating external memo…