Search Results for author: Louis-Pascal Xhonneux

Found 4 papers, 3 papers with code

Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs

no code implementations ICML 2020 Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux, Jian Tang

This paper studies few-shot relation extraction, which aims at predicting the relation for a pair of entities in a sentence by training with a few labeled examples in each relation.

Meta-Learning Relation +2

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

1 code implementation16 Feb 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 Xhonneux, Meng Qu, Jian Tang

However, lacking domain knowledge (e. g., which tasks to work on), standard benchmarks and data preprocessing pipelines are the main obstacles for machine learning researchers to work in this domain.

BIG-bench Machine Learning Drug Discovery +2

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

1 code implementation NeurIPS 2021 Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang

To further improve the capacity of the path formulation, we propose the Neural Bellman-Ford Network (NBFNet), a general graph neural network framework that solves the path formulation with learned operators in the generalized Bellman-Ford algorithm.

Inductive Relation Prediction Link Prediction +1

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

2 code implementations ICLR 2021 Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang

Then in the E-step, we select a set of high-quality rules from all generated rules with both the rule generator and reasoning predictor via posterior inference; and in the M-step, the rule generator is updated with the rules selected in the E-step.

Knowledge Graphs

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