Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

Zhanke Zhou*, Zhaocheng Zhu*, Xuan Li*, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
ICLR 2026   Paper / Code

Enhancing Link Prediction in Biomedical Knowledge Graphs with BioPathNet

Emy Yue Hu, Svitlana Oleshko, Samuele Firmani, Hui Cheng, Zhaocheng Zhu, Maria Ulmer, Matthias Arnold, Maria Colomé-Tatché, Jian Tang, Sophie Xhonneux, Annalisa Marsico
Nature Biomedical Engineering 2026   Paper

Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention

Zhihao Zhan*, Jianan Zhao*, Zhaocheng Zhu, Jian Tang
NeurIPS 2025   Paper / Code

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?

Zhanke Zhou*, Xiao Feng*, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han
ICML 2025   Paper / Code

Learning Equivalence Classes of Bayesian Network Structures with GFlowNet

Michelle Liu, Zhaocheng Zhu, Olexa Bilaniuk, Emmanuel Bengio
TMLR 2025   Paper

Fully-inductive Node Classification on Arbitrary Graphs

Jianan Zhao*, Zhaocheng Zhu*, Mikhail Galkin, Hesham Mostafa, Michael Bronstein, Jian Tang
ICLR 2025   Paper / Code

A Foundation Model for Zero-shot Logical Query Reasoning

Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
NeurIPS 2024   Paper / Code

Neural Graph Reasoning: A Survey on Complex Logical Query Answering

Hongyu Ren*, Mikhail Galkin*, Zhaocheng Zhu, Jure Leskovec, Michael Cochez
TMLR 2024   Paper / Paper List

Learning Representations for Reasoning: Generalizing Across Diverse Structures

Zhaocheng Zhu
PhD Thesis 2024   Paper / Slides

Towards Foundation Models for Knowledge Graph Reasoning

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
ICLR 2024   Paper / Code

Towards Foundation Models for Molecular Learning on Large-Scale Multi-Task Datasets

Dominique Beaini, et al. (34 authors)
ICLR 2024   Paper / Code

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Zhaocheng Zhu*, Xinyu Yuan*, Mikhail Galkin, Sophie Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
NeurIPS 2023   Paper / Code

GraphText: Graph Reasoning in Text Space

Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael Bronstein, Zhaocheng Zhu, Jian Tang
arXiv 2023   Paper

Large Language Models can Learn Rules

Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
arXiv 2023   Paper / Code

Inductive Logical Query Answering in Knowledge Graphs

Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
NeurIPS 2022   Paper / Code

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

Minghao Xu*, Zuobai Zhang*, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang
NeurIPS (Datasets and Benchmarks Track) 2022   Paper / Code

Neural-Symbolic Models for Logical Queries on Knowledge Graphs

Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
ICML 2022   Paper / Code

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Cheng, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal Xhonneux, Meng Qu, Jian Tang
arXiv 2022 (77k+ downloads)   Paper / Website / Tutorial / Code

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
NeurIPS 2021
Paper / Code (original) / Code (new) / Code (PyG) / OGB-LSC

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
TACL 2021   Paper / Code / Dataset

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