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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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06/17/2023
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection
Video anomaly detection (VAD) is an essential yet challenge task in sign...
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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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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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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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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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12/13/2020