Zhaocheng Zhu
Publications by Year
Research Areas
Advanced Graph Neural Networks, Topic Modeling, Machine Learning in Materials Science, Semantic Web and Ontologies, Machine Learning in Bioinformatics
Most-Cited Works
- → KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation(2021)583 cited
- → GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation(2020)205 cited
- → Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction(2021)112 cited
- → GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding(2019)105 cited
- → PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding(2022)59 cited
- → TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery(2022)31 cited
- → Self-Adaptive Network Pruning(2019)26 cited
- → Dialog state tracking with attention-based sequence-to-sequence learning(2016)20 cited
- → Neural-Symbolic Models for Logical Queries on Knowledge Graphs(2022)16 cited