Search Results for author: Chaoxi Niu

Found 4 papers, 4 papers with code

Graph-level Anomaly Detection via Hierarchical Memory Networks

1 code implementation3 Jul 2023 Chaoxi Niu, Guansong Pang, Ling Chen

One primary challenge is to learn normal patterns manifested in both fine-grained and holistic views of graphs for identifying graphs that are abnormal in part or in whole.

Anomaly Detection

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

1 code implementation31 Jan 2023 Chaoxi Niu, Guansong Pang, Ling Chen

To tackle this problem, this article proposes a novel approach that builds a discriminative model on collective affinity information (i. e., two sets of pairwise affinities between the negative instances and the anchor instance) to mine hard negatives in GCL.

Contrastive Learning Node Classification

Mutual Teaching for Graph Convolutional Networks

1 code implementation2 Sep 2020 Kun Zhan, Chaoxi Niu

We propose a new training method named as mutual teaching, i. e., we train dual models and let them teach each other during each batch.

Node Classification Pseudo Label

Generative approach to unsupervised deep local learning

1 code implementation19 Jun 2019 Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan

Based on the pretrained model and the constructed graph, we add a self-expressive layer to complete the generative model and then fine-tune it with a new loss function, including the reconstruction loss and a deliberately defined locality-preserving loss.

Cannot find the paper you are looking for? You can Submit a new open access paper.