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With the rapid advancement of artificial intelligence technology, AI students are confronted with a significant "information-to-innovation" gap: they must navigate through the rapidly expanding body of literature, trace the development of a specific research field, and synthesize various techniques into feasible innovative concepts.
Prerequisite Relation Learning for Concepts in MOOCs
Pan, L.; Li, C.; Li, J.; and Tang, J. 2017 · 2017
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EDUKG: A Heterogeneous Sustainable K-12 Educational Knowledge Graph
Zhao, B.; Sun, J.; Xu, B.; Lu, X.; Li, Y.; Yu, J.; Liu, M.; Zhang, T.; Chen, Q.; Li, H.; Hou, L.; and Li, J. 2022 · 2022
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Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula
Li, Z.; Cheng, L.; Zhang, C.; Zhu, X.; and Zhao, H. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Accurate Structure Prediction of Biomolecular Interactions with AlphaFold 3
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Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
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A Systematic Literature Review of Knowledge Graph Construction and Application in Education
Abu-Salih, B.; and Alotaibi, S. 2024 · 2024
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ConceptGCN: Knowledge Concept Recommendation in MOOCs Based on Knowledge Graph Convolutional Networks and SBERT
Alatrash, R.; Chatti, M. A.; Ain, Q. U.; Fang, Y.; Joarder, S.; and Siepmann, C. 2024 · 2024
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ACE: AI-Assisted Construction of Educational Knowledge Graphs with Prerequisite Relations
Aytekin, M. C.; and Saygın, Y. 2024 · 2024
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Baek, J.; Jauhar, S. K.; Cucerzan, S.; and Hwang, S. J. 2024 · 2024
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de Haan, T.; Ting, Y.-S.; Ghosal, T.; Nguyen, T. D.; Accomazzi, A.; Wells, A.; Ramachandra, N.; Pan, R.; and Sun, Z. 2024 · 2024
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Dubey, A.; Jauhri, A.; Pandey, A.; Kadian, A.; Al-Dahle, A.; Letman, A.; Mathur, A.; Schelten, A.; Yang, A.; Fan, A.; et al. 2024 · 2024
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Can GNN Be Good Adapter for LLMs?
Huang, X.; Han, K.; Yang, Y.; Bao, D.; Tao, Q.; Chai, Z.; and Zhu, Q. 2024 · 2024
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Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
Qu, X.; Shang, X.; and Zhang, Y. 2024 · 2024
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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
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Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Sun, J.; Xu, C.; Tang, L.; Wang, S.; Lin, C.; Gong, Y.; Ni, L. M.; Shum, H.-Y.; and Guo, J. 2024 · 2024
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ChatGPT in Medicine: Prospects and Challenges: A Review Article
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Kumar, S.; Ghosal, T.; Goyal, V.; and Ekbal, A. 2024 · 2024
Cited alongside, same era.
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
Li, L.; Xu, W.; Guo, J.; Zhao, R.; Li, X.; Yuan, Y.; Zhang, B.; Jiang, Y.; Xin, Y.; Dang, R.; Zhao, D.; Rong, Y.; Feng, T.; and Bing, L. 2024 · 2024
Cited alongside, same era.
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Mavromatis, C.; and Karypis, G. 2024 · 2024
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Unifying Large Language Models and Knowledge Graphs: A Roadmap
Pan, S.; Luo, L.; Wang, Y.; Chen, C.; Wang, J.; and Wu, X. 2024 · 2024
Cited alongside, same era.
A Survey of Knowledge Graph Approaches and Applications in Education
Qu, K.; Li, K. C.; Wong, B. T. M.; Wu, M. M. F.; and Liu, M. 2024 · 2024
Cited alongside, same era.
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Luo, L.; Ju, J.; Xiong, B.; Li, Y.-F.; Haffari, G.; and Pan, S. 2024a
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Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Luo, L.; Li, Y.-F.; Haffari, G.; and Pan, S. 2024b
Cited in the paper.
Graph-Constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
Luo, L.; Zhao, Z.; Gong, C.; Haffari, G.; and Pan, S. 2024c
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Tan, S.; Xin, X.; and Wu, D. 2024 · 2024
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G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
Yu, Z.; Xu, X.; and Gao, H. 2024 · 2024
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Abdelmagied, M.; Chatti, M. A.; Joarder, S.; Ain, Q. U.; and Alatrash, R. 2025 · 2025
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LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Xu, G.; Jin, P.; Li, H.; Song, Y.; Sun, L.; and Yuan, L. 2025 · 2025
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