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12/30/2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Graph neural network (GNN) has shown convincing performance in learning ...
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11/05/2021
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning
Unsupervised graph representation learning is a non-trivial topic for gr...
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01/27/2021
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
The explosive growth of fake news along with destructive effects on poli...
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01/14/2021
Label Contrastive Coding based Graph Neural Network for Graph Classification
Graph classification is a critical research problem in many applications...
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02/17/2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Graph neural networks (GNNs) have achieved outstanding performance in le...
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02/05/2020
HGAT: Hierarchical Graph Attention Network for Fake News Detection
The explosive growth of fake news has eroded the credibility of medias a...
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12/23/2019
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Fraud detection is extremely critical for e-commerce business. It is the...
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11/19/2019
