2 citations · 2 across the 5 of their papers we have counts for
5 papers
Differentiable Constraint-Based Causal Discovery
Jincheng Zhou, Mengbo Wang, Anqi He +4
Causal discovery from observational data is a fundamental task in artificial intelligence, with far-reaching implications for decision-making, predictions, and interventions. Despi…
QOG:Question and Options Generation based on Language Model
Jincheng Zhou
Question-Options Generation (QOG) is a task that involves generating a set of question-options pairs given context. This task has various applications, including fine-tuning large…
A Foundation Model for Zero-shot Logical Query Reasoning
Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro +2
Complex logical query answering (CLQA) in knowledge graphs (KGs) goes beyond simple KG completion and aims at answering compositional queries comprised of multiple projections and…
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
The task of inductive link prediction in (discrete) attributed multigraphs infers missing attributed links (relations) between nodes in new test multigraphs. Traditional relational…
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jincheng Zhou, Yucheng Zhang, Jianfei Gao +2
The task of fully inductive link prediction in knowledge graphs has gained significant attention, with various graph neural networks being proposed to address it. This task present…