research
∙
09/19/2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
As a specific case of graph transfer learning, unsupervised domain adapt...
share
research
∙
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...
research
∙
04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
research
∙
04/11/2023
A Comprehensive Survey on Deep Graph Representation Learning
Graph representation learning aims to effectively encode high-dimensiona...
research
∙
12/27/2022
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Feature transformation for AI is an essential task to boost the effectiv...
research
∙
09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
research
∙
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...
research
∙
09/16/2022
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
The peer merit review of research proposals has been the major mechanism...
research
∙
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...
research
∙
09/14/2021
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
To advance the development of science and technology, research proposals...
research
∙
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...
research
∙
02/22/2021
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
Knowledge graph embedding (KGE) models learn to project symbolic entitie...
research
∙
12/13/2020
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion
Most researches for knowledge graph completion learn representations of ...
research
∙
08/23/2020
