output
20122026
most citedA Comprehensive Survey on Deep Graph Representation Learning

337 citations

36 papers

cs.IR2026

PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID

Xiao Wang, Sean MacAvaney, Craig Macdonald

Multi-vector dense retrieval models, such as ColBERT, achieve strong retrieval effectiveness by modelling fine-grained token-level interactions between queries and documents. Metho…

cs.CY2025★ 2 cited

The Jade Gateway to Trust: Exploring How Socio-Cultural Perspectives Shape Trust Within Chinese NFT Communities

Yi-Fan Cao, Reza Hadi Mogavi, Meng Xia +6

Today's world is witnessing an unparalleled rate of technological transformation. The emergence of non-fungible tokens (NFTs) has transformed how we handle digital assets and value…

cs.CL2025★ 3 cited

ZiGong 1.0: A Large Language Model for Financial Credit

Yu Lei, Zixuan Wang, Chu Liu +1

Large Language Models (LLMs) have demonstrated strong performance across various general Natural Language Processing (NLP) tasks. However, their effectiveness in financial credit a…

cs.AI2025★ 8 cited

AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling

Hao Zhou, Wenge Rong, Jianfei Zhang +3

Knowledge Tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant…

cs.LG2024★ 8 cited

Rank and Align: Towards Effective Source-free Graph Domain Adaptation

Junyu Luo, Zhiping Xiao, Yifan Wang +5

Graph neural networks (GNNs) have achieved impressive performance in graph domain adaptation. However, extensive source graphs could be unavailable in real-world scenarios due to p…

econ.EM2024★ 1 cited

Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach

Difang Huang, Ying Liang, Boyao Wu +1

We identify the effectiveness of social distancing policies in reducing the transmission of the COVID-19 spread. We build a model that measures the relative frequency and geographi…