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09/19/2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
As a specific case of graph transfer learning, unsupervised domain adapt...
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09/06/2023
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...
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09/04/2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
The objective of topic inference in research proposals aims to obtain th...
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06/29/2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
Feature transformation aims to reconstruct an effective representation s...
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04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
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12/27/2022
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis
With the development of natural language processing techniques(NLP), aut...
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12/27/2022
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Feature transformation for AI is an essential task to boost the effectiv...
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09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
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09/28/2022
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals
Funding agencies are largely relied on a topic matching between domain e...
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09/16/2022
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
The peer merit review of research proposals has been the major mechanism...
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09/16/2022
Self-Optimizing Feature Transformation
Feature transformation aims to extract a good representation (feature) s...
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10/22/2021
Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform
Multimodal medical images are widely used by clinicians and physicians t...
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10/08/2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
With the growth of the academic engines, the mining and analysis acquisi...
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06/16/2021
Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification
Data augmentation aims to generate new and synthetic features from the o...
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04/20/2021
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
Single Image Super-resolution (SISR) produces high-resolution images wit...
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02/22/2021
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
Knowledge graph embedding (KGE) models learn to project symbolic entitie...
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01/07/2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
In this paper, we study the problem of mobile user profiling, which is a...
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12/13/2020
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion
Most researches for knowledge graph completion learn representations of ...
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08/23/2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
While Graph Neural Network (GNN) has shown superiority in learning node ...
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07/27/2017