42 citations · 54 across the 5 of their papers we have counts for
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cs.LG2023★ 2 cited
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jincheng Zhou, Yucheng Zhang, Jianfei Gao +2
The task of fully inductive link prediction in knowledge graphs has gained significant attention, with various graph neural networks being proposed to address it. This task present…
cs.LG2021★ 10 cited
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao, Bruno Ribeiro
This work formalizes the associational task of predicting node attribute evolution in temporal graphs from the perspective of learning equivariant representations. We show that nod…
cs.LG2020
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran +2
We consider the task of learning a parametric Continuous Time Markov Chain (CTMC) sequence model without examples of sequences, where the training data consists entirely of aggrega…