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08/25/2023
Significant-attributed Community Search in Heterogeneous Information Networks
Community search is a personalized community discovery problem aimed at ...
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08/18/2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
The data-hungry problem, characterized by insufficiency and low-quality ...
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05/25/2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
The generalization of neural networks is a central challenge in machine ...
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05/25/2023
IDEA: Invariant Causal Defense for Graph Adversarial Robustness
Graph neural networks (GNNs) have achieved remarkable success in various...
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02/02/2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Graphs consisting of vocal nodes ("the vocal minority") and silent nodes...
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01/31/2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Company financial risk is ubiquitous and early risk assessment for liste...
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11/20/2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Graph contrastive learning (GCL) emerges as the most representative appr...
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10/19/2022
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning
Unsupervised representation learning for dynamic graphs has attracted a ...
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03/22/2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
The expressive power of message passing GNNs is upper-bounded by Weisfei...
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07/27/2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Graph neural networks (GNNs) achieve remarkable success in graph-based s...
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06/20/2019
A Graph Auto-Encoder for Attributed Network Embedding
Attributed network embedding aims to learn low-dimensional node represen...
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04/12/2019