Publications


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
Zero-shot Logical Query Reasoning on any Knowledge Graph
Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
arXiv 2024   Paper
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
Large Language Models can Learn Rules
Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
arXiv 2023   Paper
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
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren*, Mikhail Galkin*, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
arXiv 2023   Paper / Paper List
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 (51k+ 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
GraphAF: A Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi*, Minkai Xu*, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
ICLR 2020   Paper / Code / Tutorial (TorchDrug) / Code (TorchDrug)
Self-Adaptive Network Pruning
Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao
ICONIP 2019 (Best Student Paper Finalist)   Paper
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
WWW 2019 (36k+ downloads)   Paper / Website / Tutorial / Code
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression
Conghui Li, Zhaocheng Zhu, Yuming Zhao
ICONIP 2018   Paper
Context Aware Document Embedding
Zhaocheng Zhu, Junfeng Hu
arXiv 2017   Paper
Dialog state tracking with attention-based sequence-to-sequence learning
Takaaki Hori, Hai Wang, Chiori Hori, Shinji Watanabe, Bret Harsam, Jonathan Le Roux, John R. Hershey, Yusuke Koji, Yi Jing, Zhaocheng Zhu, Takeyuki Aikawa
SLT Workshop 2016   Paper / Challenge