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Found 4 papers, 1 papers with code
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification
Node classification is one of the core tasks on attributed graphs, but successful graph learning solutions require sufficiently labeled data.
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs
Semantic Web or Knowledge Graphs (KG) emerged to one of the most important information source for intelligent systems requiring access to structured knowledge.
APPTeK: Agent-Based Predicate Prediction in Temporal Knowledge Graphs
In temporal Knowledge Graphs (tKGs), the temporal dimension is attached to facts in a knowledge base resulting in quadruples between entities such as (Nintendo, released, Super Mario, Sep-13-1985), where the predicate holds within a time interval or at a timestamp.
SEA: Graph Shell Attention in Graph Neural Networks
Intuitively, by increasing the number of experts, the models gain in expressiveness such that a node's representation is solely based on nodes that are located within the receptive field of an expert.
