Zhaocheng Zhu

According to our database, Zhaocheng Zhu authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Zero-shot Logical Query Reasoning on any Knowledge Graph.

Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Micheal M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Large Language Models can Learn Rules.

Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai

CoRR, 2023

Towards Foundation Models for Knowledge Graph Reasoning.

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

CoRR, 2023

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, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters

CoRR, 2023

GraphText: Graph Reasoning in Text Space.

Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

CoRR, 2023

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.

Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec

CoRR, 2023

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

Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning to Efficiently Propagate for Reasoning on Knowledge Graphs.

Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

CoRR, 2022

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 Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang

CoRR, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inductive Logical Query Answering in Knowledge Graphs.

Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural-Symbolic Models for Logical Queries on Knowledge Graphs.

Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang

Trans. Assoc. Comput. Linguistics, 2021

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

Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.

Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang

CoRR, 2019

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding.

Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu

Proceedings of the World Wide Web Conference, 2019

Self-Adaptive Network Pruning.

Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression.

Conghui Li, Zhaocheng Zhu, Yuming Zhao

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Context Aware Document Embedding.

Zhaocheng Zhu, Junfeng Hu

CoRR, 2017

2016

Dialog state tracking with attention-based sequence-to-sequence learning.

Takaaki Hori, Hai Wang, Chiori Hori, Shinji Watanabe, Bret Harsham, Jonathan Le Roux, John R. Hershey, Yusuke Koji, Yi Jing, Zhaocheng Zhu, Takeyuki Aikawa

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016