Cover Image

GCoT: Chain-of-Thought Prompt Learning for Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Xingtong, Zhou, Chang, Kuai, Zhongwei, Zhang, Xinming, Fang, Yuan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights
by: Yu, Xingtong, et al.
Published: (2026)

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
by: Yu, Xingtong, et al.
Published: (2023)

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
by: Yu, Xingtong, et al.
Published: (2025)

GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
by: Luo, Guanran, et al.
Published: (2026)

GraphReAct: Reasoning and Acting for Multi-step Graph Inference
by: Yu, Xingtong, et al.
Published: (2026)

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
by: Zheng, Ziyu, et al.
Published: (2025)

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs
by: Baci, Alkid, et al.
Published: (2026)

Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
by: Yang, Juncheng, et al.
Published: (2024)

General Purpose Verification for Chain of Thought Prompting
by: Vacareanu, Robert, et al.
Published: (2024)

Can Separators Improve Chain-of-Thought Prompting?
by: Park, Yoonjeong, et al.
Published: (2024)

Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)

Prompting Science Report 2: The Decreasing Value of Chain of Thought in Prompting
by: Meincke, Lennart, et al.
Published: (2025)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
by: Jing, Peiyuan, et al.
Published: (2025)

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression
by: Li, Chengzhengxu, et al.
Published: (2025)

Implicit Sentiment Analysis Based on Chain of Thought Prompting
by: Duan, Zhihua, et al.
Published: (2024)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

CoT-Valve: Length-Compressible Chain-of-Thought Tuning
by: Ma, Xinyin, et al.
Published: (2025)

Learning Composable Chains-of-Thought
by: Yin, Fangcong, et al.
Published: (2025)

Supervised Chain of Thought
by: Zhang, Xiang, et al.
Published: (2024)

Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
by: Zhang, Bowen, et al.
Published: (2023)

Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
by: Cao, Jie, et al.
Published: (2026)

Demystifying Chains, Trees, and Graphs of Thoughts
by: Besta, Maciej, et al.
Published: (2024)

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
by: Zhou, Junjie, et al.
Published: (2025)

When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
by: Ning, Xuefei, et al.
Published: (2023)

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
by: Marinelli, Ryan, et al.
Published: (2025)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)

Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)

Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
by: Hu, Xinyang, et al.
Published: (2024)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
by: Xia, Yu, et al.
Published: (2024)

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
by: Fang, Yihao, et al.
Published: (2024)

Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling
by: Zheng, Guangmin, et al.
Published: (2024)

Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning
by: Liu, Dong, et al.
Published: (2026)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
by: Sun, Shichao, et al.
Published: (2024)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation
by: Chen, Xin, et al.
Published: (2024)

Tailored Teaching with Balanced Difficulty: Elevating Reasoning in Multimodal Chain-of-Thought via Prompt Curriculum
by: Yang, Xinglong, et al.
Published: (2025)

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors
by: Yang, Hao, et al.
Published: (2025)