activity
20202026
most citedA Comprehensive Survey on Deep Graph Representation Learning

337 citations · 399 across the 25 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning

Jun Chen, Yongchao Liu, Pengyu Qiu +6

Retrieval-augmented generation (RAG) enables LLMs to access external knowledge for answering knowledge-intensive questions. For complex multi-hop questions, multi-turn retrieval-au…

cs.CL2023★ 1 cited

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation

Meng Xiao, Min Wu, Ziyue Qiao +4

The objective of topic inference in research proposals aims to obtain the most suitable disciplinary division from the discipline system defined by a funding agency. The agency wil…

cs.CL2022

Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals

Meng Xiao, Min Wu, Ziyue Qiao +4

Funding agencies are largely relied on a topic matching between domain experts and research proposals to assign proposal reviewers. As proposals are increasingly interdisciplinary,…

cs.CL2022★ 3 cited

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals

Meng Xiao, Ziyue Qiao, Yanjie Fu +5

The peer merit review of research proposals has been the major mechanism to decide grant awards. Nowadays, research proposals have become increasingly interdisciplinary. It has bee…

cs.CL2020★ 4 cited

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion

Ziyue Qiao, Zhiyuan Ning, Yi Du +1

Most researches for knowledge graph completion learn representations of entities and relations to predict missing links in incomplete knowledge graphs. However, these methods fail…