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Zixuan Li

30 papers hereh-index 151.3k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author23

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.AI11
  • cs.LG4
  • cs.RO1
same name
  • Zixuan Li — 9 papers, h 4
  • Zixuan Li — 8 papers, h 3
  • Zixuan Li — 6 papers, h 3
  • Zixuan Li — 6 papers, h 3
  • Zixuan Li — 4 papers, h 5
  • Zixuan Li — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedTemporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

14 citations · 46 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021

What is Event Knowledge Graph: A Survey

Saiping Guan, Xueqi Cheng, Long Bai +5

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an essential kind of knowledge in the world, which trigger the spring up of event-centr…

cs.CL2021

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction

Long Bai, Saiping Guan, Jiafeng Guo +3

Scripts are structured sequences of events together with the participants, which are extracted from the texts.Script event prediction aims to predict the subsequent event given the…

cs.AI2021★ 3 cited

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs

Zixuan Li, Xiaolong Jin, Saiping Guan +4

Temporal Knowledge Graphs (TKGs) have been developed and used in many different areas. Reasoning on TKGs that predicts potential facts (events) in the future brings great challenge…

cs.AI2021★ 14 cited

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

Zixuan Li, Xiaolong Jin, Wei Li +5

Knowledge Graph (KG) reasoning that predicts missing facts for incomplete KGs has been widely explored. However, reasoning over Temporal KG (TKG) that predicts facts in the future…

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