Search Results for author: Ren Chen

Found 4 papers, 2 papers with code

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

no code implementations24 Jul 2023 Hanjia Lyu, Song Jiang, Hanqing Zeng, Qifan Wang, Si Zhang, Ren Chen, Chris Leung, Jiajie Tang, Yinglong Xia, Jiebo Luo

We investigate various prompting strategies for enhancing personalized recommendation performance with large language models (LLMs) through input augmentation.

Decoupling the Depth and Scope of Graph Neural Networks

1 code implementation NeurIPS 2021 Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

We propose a design principle to decouple the depth and scope of GNNs -- to generate representation of a target entity (i. e., a node or an edge), we first extract a localized subgraph as the bounded-size scope, and then apply a GNN of arbitrary depth on top of the subgraph.

Link Prediction Node Classification +1

Deep Graph Neural Networks with Shallow Subgraph Samplers

2 code implementations2 Dec 2020 Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

We propose a simple "deep GNN, shallow sampler" design principle to improve both the GNN accuracy and efficiency -- to generate representation of a target node, we use a deep GNN to pass messages only within a shallow, localized subgraph.

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