Zhu, Zhaocheng

18 publications

ICML 2025 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

ICLR 2025 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang

ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

TMLR 2025 Learning Equivalence Classes of Bayesian Network Structures with GFlowNet Michelle Liu, Zhaocheng Zhu, Olexa Bilaniuk, Emmanuel Bengio

NeurIPS 2025 Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang

NeurIPS 2024 A Foundation Model for Zero-Shot Logical Query Reasoning Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu

NeurIPSW 2024 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

NeurIPSW 2024 GraphText: Graph Reasoning in Text Space Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

TMLR 2024 Neural Graph Reasoning: A Survey on Complex Logical Query Answering Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez

ICLR 2024 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters

NeurIPS 2023 A*Net: A Scalable Path-Based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

NeurIPSW 2023 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

NeurIPS 2022 Inductive Logical Query Answering in Knowledge Graphs Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang

ICML 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

NeurIPS 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Ma Chang, Runcheng Liu, Jian Tang

NeurIPS 2021 Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang

ICLR 2020 GraphAF: A Flow-Based Autoregressive Model for Molecular Graph Generation Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang