activity
20162023
most citedXiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

9 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 9 cited

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye +16

New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive eva…

cs.DS2023★ 8 cited

Towards Generating Hop-constrained s-t Simple Path Graphs

Yuzheng Cai, Siyuan Liu, Weiguo Zheng +1

Graphs have been widely used in real-world applications, in which investigating relations between vertices is an important task. In this paper, we study the problem of generating t…

cs.DS2023★ 2 cited

Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction

Rongjian Yang, Zhijie Zhang, Weiguo Zheng +1

Streaming graphs are drawing increasing attention in both academic and industrial communities as many graphs in real applications evolve over time. Continuous subgraph matching (sh…

cs.AI2019★ 1 cited

Towards Combinational Relation Linking over Knowledge Graphs

Weiguo Zheng, Mei Zhang

Given a natural language phrase, relation linking aims to find a relation (predicate or property) from the underlying knowledge graph to match the phrase. It is very useful in many…

cs.AI2019★ 7 cited

Question Answering over Knowledge Graphs via Structural Query Patterns

Weiguo Zheng, Mei Zhang

Natural language question answering over knowledge graphs is an important and interesting task as it enables common users to gain accurate answers in an easy and intuitive manner.…

cs.DB2016★ 2 cited

MSQ-Index: A Succinct Index for Fast Graph Similarity Search

Xiaoyang Chen, Hongwei Huo, Jun Huan +1

Graph similarity search has received considerable attention in many applications, such as bioinformatics, data mining, pattern recognition, and social networks. Existing methods fo…