Zobrazeno 1 - 10
of 2 629
pro vyhledávání: '"Shi Chuan"'
As LLMs exhibit a high degree of human-like capability, increasing attention has been paid to role-playing research areas in which responses generated by LLMs are expected to mimic human replies. This has promoted the exploration of role-playing agen
Externí odkaz:
http://arxiv.org/abs/2410.23041
Autor:
Li, Xin, Chu, Qizhi, Chen, Yubin, Liu, Yang, Liu, Yaoqi, Yu, Zekai, Chen, Weize, Qian, Chen, Shi, Chuan, Yang, Cheng
Graphs are widely used for modeling relational data in real-world scenarios, such as social networks and urban computing. Existing LLM-based graph analysis approaches either integrate graph neural networks (GNNs) for specific machine learning tasks,
Externí odkaz:
http://arxiv.org/abs/2410.18032
Autor:
Li, Xin, Chen, Weize, Chu, Qizhi, Li, Haopeng, Sun, Zhaojun, Li, Ran, Qian, Chen, Wei, Yiwei, Liu, Zhiyuan, Shi, Chuan, Sun, Maosong, Yang, Cheng
The need to analyze graphs is ubiquitous across various fields, from social networks to biological research and recommendation systems. Therefore, enabling the ability of large language models (LLMs) to process graphs is an important step toward more
Externí odkaz:
http://arxiv.org/abs/2409.19667
Understanding molecular structure and related knowledge is crucial for scientific research. Recent studies integrate molecular graphs with their textual descriptions to enhance molecular representation learning. However, they focus on the whole molec
Externí odkaz:
http://arxiv.org/abs/2409.14106
Publikováno v:
Guangtongxin yanjiu, Pp 12-17,73 (2022)
To improve the decoding speed and performance of Weighted Bit Flipping (WBF) decoding algorithm for Low Density Parity Check (LDPC) codes, a two-stage WBF algorithm with a multi-/single-bit switching mechanism is proposed. It first performs multi-bit
Externí odkaz:
https://doaj.org/article/69b581d2dbac41219b95704bec203083
Autor:
SHI Chuan-sheng, FENG Jiao
Publikováno v:
Guangtongxin yanjiu, Pp 40-44,55 (2022)
The Minimum Mean-Square Error (MMSE) detector can achieve excellent Bit Error Rate (BER) performance in massive Multiple-Input Multiple-Output (MIMO) systems. However, it involves high complexity large-scale matrix inversion operation with high degre
Externí odkaz:
https://doaj.org/article/8d51831caaad4c86888574c58e489782
With the expansion of business scenarios, real recommender systems are facing challenges in dealing with the constantly emerging new tasks in multi-task learning frameworks. In this paper, we attempt to improve the generalization ability of multi-tas
Externí odkaz:
http://arxiv.org/abs/2408.17214
Large language models (LLMs) have presented significant opportunities to enhance various machine learning applications, including graph neural networks (GNNs). By leveraging the vast open-world knowledge within LLMs, we can more effectively interpret
Externí odkaz:
http://arxiv.org/abs/2408.14134
Graph neural networks (GNNs) are vulnerable to adversarial perturbations, especially for topology attacks, and many methods that improve the robustness of GNNs have received considerable attention. Recently, we have witnessed the significant success
Externí odkaz:
http://arxiv.org/abs/2408.08685
The personalized bundle generation problem, which aims to create a preferred bundle for user from numerous candidate items, receives increasing attention in recommendation. However, existing works ignore the order-invariant nature of the bundle and a
Externí odkaz:
http://arxiv.org/abs/2406.06925