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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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05/10/2023
Towards Better Graph Representation Learning with Parameterized Decomposition Filtering
Proposing an effective and flexible matrix to represent a graph is a fun...
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07/04/2022
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
Recently, deep learning methods have made great progress in traffic pred...
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06/11/2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
For learning graph representations, not all detailed structures within a...
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02/16/2022
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on ...
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12/14/2021
Improving Spectral Graph Convolution for Learning Graph-level Representation
From the original theoretically well-defined spectral graph convolution ...
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06/15/2021
First Place Solution of KDD Cup 2021 OGB Large-Scale Challenge Graph-Level Track
In this technical report, we present our solution of KDD Cup 2021 OGB La...
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06/09/2021
Do Transformers Really Perform Bad for Graph Representation?
The Transformer architecture has become a dominant choice in many domain...
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12/14/2020
Breaking the Expressive Bottlenecks of Graph Neural Networks
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to ...
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04/18/2020