Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. - Meng Qu; Tianyu Gao 001; Louis-Pascal A. C. Xhonneux; Jian Tang 005 (ICML, 2020)

Continuous Graph Neural Networks. - Louis-Pascal A. C. Xhonneux; Meng Qu; Jian Tang 005 (ICML, 2020)

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. - Meng Qu; Jun-Kun Chen; Louis-Pascal A. C. Xhonneux; Yoshua Bengio; Jian Tang 005 (ICLR, 2021)

How to transfer algorithmic reasoning knowledge to learn new algorithms? - Louis-Pascal A. C. Xhonneux; Andreea Deac; Petar Velickovic; Jian Tang 005 (NeurIPS, 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 005 (NeurIPS, 2021)

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; Jun-Kun Chen; Huiyu Cai; Jiarui Lu; Chang Ma; Runcheng Liu; et al. (CoRR, 2022)

Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. - Zhaocheng Zhu; Xinyu Yuan; Louis-Pascal A. C. Xhonneux; Ming Zhang 004; Maxime Gazeau; Jian Tang 005 (CoRR, 2022)

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. - Zhaocheng Zhu; Xinyu Yuan; Michael Galkin; Louis-Pascal A. C. Xhonneux; Ming Zhang 004; Maxime Gazeau; Jian Tang 005 (NeurIPS, 2023)