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Found 5 papers, 2 papers with code
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain
Trajectory prediction has garnered widespread attention in different fields, such as autonomous driving and robotic navigation.
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification
Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification.
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Low-resource Relation Extraction (LRE) aims to extract relation facts from limited labeled corpora when human annotation is scarce.
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Heterogeneous network embedding aims to embed nodes into low-dimensional vectors which capture rich intrinsic information of heterogeneous networks.
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
This enables the development of personalized dialogue models that directly learn implicit user personality from the user's dialogue history.
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