Search Results for author: Xiuyu Li

Found 5 papers, 3 papers with code

TorchSparse: Efficient Point Cloud Inference Engine

1 code implementation21 Apr 2022 Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han

TorchSparse directly optimizes the two bottlenecks of sparse convolution: irregular computation and data movement.

Autonomous Driving

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks

no code implementations30 Jan 2022 Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang

Graph neural networks (GNNs) have been increasingly deployed in various applications that involve learning on non-Euclidean data.

Adversarial Robustness

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

2 code implementations NeurIPS 2021 Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim

Many widely used datasets for graph machine learning tasks have generally been homophilous, where nodes with similar labels connect to each other.

Graph Learning

GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks

no code implementations29 Sep 2021 Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang

In this paper, we propose GARNET, a scalable spectral method to boost the adversarial robustness of GNN models for both homophilic and heterophilic graphs.

Adversarial Robustness Graph Embedding

New Benchmarks for Learning on Non-Homophilous Graphs

1 code implementation3 Apr 2021 Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim

Much data with graph structures satisfy the principle of homophily, meaning that connected nodes tend to be similar with respect to a specific attribute.

Fraud Detection Graph Representation Learning +1

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