Adele Lu Jia — accepted AI-conference papers

2024

Kernel Readout for Graph Neural Networks

Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan

IJCAI 2024poster

Graph neural networks (GNNs) for graph classification or representation learning require a pooling operation to convert the nodes' embeddings of each graph to a vector as the graph-level representation and the operation has a significant impact on model accuracy. The paper presents a novel graph poo…

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2020

Learning Network Representation Through Reinforcement Learning

Siqi Shen, Yongquan Fu, Adele Lu Jia, Huayou Su, Qinglin Wang, Chengsong Wang +1

ICASSP 2020accepted

Network Representation Learning embeds each node in a network into a low-dimensional real-value vector which can be used for downstream tasks such as link prediction and recommendation. Many existing approaches use unsupervised or (semi-)supervised methods to explore the network topology and learn r…

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