Zhaocheng Zhu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Graph Databases

Top Venues

Publications

Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR (2024)
Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Towards Foundation Models for Knowledge Graph Reasoning. ICLR (2024)
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, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR (2024)
Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu
Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR (2024)
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Towards Foundation Models for Knowledge Graph Reasoning. CoRR (2023)
Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
Large Language Models can Learn Rules. CoRR (2023)
Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR (2023)
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphText: Graph Reasoning in Text Space. CoRR (2023)
Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS (2023)
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
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR (2023)
Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. CoRR (2022)
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. CoRR (2022)
Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
Inductive Logical Query Answering in Knowledge Graphs. CoRR (2022)
Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. NeurIPS (2022)
Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
Inductive Logical Query Answering in Knowledge Graphs. NeurIPS (2022)
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
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR (2022)
Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. CoRR (2022)
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. ICML (2022)
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. CoRR (2021)
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Trans. Assoc. Comput. Linguistics 9 (2021)
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. NeurIPS (2021)
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR (2020)
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR (2020)
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. CoRR (2019)
Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao
Self-Adaptive Network Pruning. ICONIP (1) (2019)
Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW (2019)
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR (2019)
Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao
Self-Adaptive Network Pruning. CoRR (2019)
Conghui Li, Zhaocheng Zhu, Yuming Zhao
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression. ICONIP (7) (2018)
Conghui Li, Zhaocheng Zhu, Yuming Zhao
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression. CoRR (2018)
Zhaocheng Zhu, Junfeng Hu
Context Aware Document Embedding. CoRR (2017)
Takaaki Hori, Hai Wang, Chiori Hori, Shinji Watanabe, Bret Harsham, Jonathan Le Roux, John R. Hershey, Yusuke Koji, Yi Jing, Zhaocheng Zhu, Takeyuki Aikawa
Dialog state tracking with attention-based sequence-to-sequence learning. SLT (2016)