35 citations · 35 across the 1 of their papers we have counts for
3 papers
cs.SI2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Fan Zhou, Xovee Xu, Ce Li +3
Quantifying and predicting the long-term impact of scientific writings or individual scholars has important implications for many policy decisions, such as funding proposal evaluat…
cs.LG2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao
Graph Neural Networks (GNNs) have recently received significant research attention due to their superior performance on a variety of graph-related learning tasks. Most of the curre…
cs.LG2019★ 35 cited
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang +3
Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i.e., acquiring new knowledge and skills with little or even no de…