Search Results for author:
Found 7 papers, 4 papers with code
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation
Breast lesions segmentation is an important step of computer-aided diagnosis system, and it has attracted much attention.
EDTER: Edge Detection with Transformer
In Stage I, a global transformer encoder is used to capture long-range global context on coarse-grained image patches.
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on the ability to model intrinsic relation patterns and mapping properties.
Gophormer: Ego-Graph Transformer for Node Classification
Existing graph transformer models typically adopt fully-connected attention mechanism on the whole input graph and thus suffer from severe scalability issues and are intractable to train in data insufficient cases.
Localized Graph Collaborative Filtering
These methods often make recommendations based on the learned user and item embeddings.
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Our motivation lies in incorporating the tremendous amount of unsupervised user behavior data from the historical search logs as the complementary graph to facilitate relevance modeling.
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks.
