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ORCIDZhaocheng Zhu
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2020 – today
- 2024
[c13]Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu:
Towards Foundation Models for Knowledge Graph Reasoning. ICLR 2024- [c12]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 - [c11]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: 1789-1792 - [i20]Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu:
Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR abs/2404.07198 (2024) - [i19]Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR abs/2405.20445 (2024) - [i18]Zhaocheng Zhu:
Learning Representations for Reasoning: Generalizing Across Diverse Structures. CoRR abs/2410.13018 (2024) - 2023
- [c10]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 - [i17]Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec:
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR abs/2303.14617 (2023) - [i16]Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphText: Graph Reasoning in Text Space. CoRR abs/2310.01089 (2023) - [i15]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 abs/2310.04292 (2023) - [i14]Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu:
Towards Foundation Models for Knowledge Graph Reasoning. CoRR abs/2310.04562 (2023) - [i13]Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai:
Large Language Models can Learn Rules. CoRR abs/2310.07064 (2023) - 2022
- [c9]Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang:
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. ICML 2022: 27454-27478 - [c8]Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang:
Inductive Logical Query Answering in Knowledge Graphs. NeurIPS 2022 - [c7]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 - [i12]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 abs/2202.08320 (2022) - [i11]Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang:
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. CoRR abs/2205.10128 (2022) - [i10]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 abs/2206.02096 (2022) - [i9]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 abs/2206.04798 (2022) - [i8]Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang:
Inductive Logical Query Answering in Knowledge Graphs. CoRR abs/2210.08008 (2022) - 2021
- [j1]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: 176-194 (2021) - [c6]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: 29476-29490 - [i7]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 abs/2106.06935 (2021) - 2020
- [c5]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR 2020 - [i6]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR abs/2001.09382 (2020)
2010 – 2019
- 2019
- [c4]Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao:
Self-Adaptive Network Pruning. ICONIP (1) 2019: 175-186 - [c3]Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW 2019: 2494-2504 - [i5]Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR abs/1903.00757 (2019) - [i4]Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao:
Self-Adaptive Network Pruning. CoRR abs/1910.08906 (2019) - [i3]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 abs/1911.06136 (2019) - 2018
- [c2]Conghui Li, Zhaocheng Zhu, Yuming Zhao:
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression. ICONIP (7) 2018: 455-464 - [i2]Conghui Li, Zhaocheng Zhu, Yuming Zhao:
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression. CoRR abs/1811.07987 (2018) - 2017
- [i1]Zhaocheng Zhu, Junfeng Hu:
Context Aware Document Embedding. CoRR abs/1707.01521 (2017) - 2016
- [c1]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: 552-558
Coauthor Index
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