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02/22/2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Recent studies have highlighted the limitations of message-passing based...
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02/21/2023
Link Prediction on Latent Heterogeneous Graphs
On graph data, the multitude of node or edge types gives rise to heterog...
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02/16/2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Graphs can model complex relationships between objects, enabling a myria...
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02/08/2023
On Generalized Degree Fairness in Graph Neural Networks
Conventional graph neural networks (GNNs) are often confronted with fair...
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02/07/2023
Learning to Count Isomorphisms with Graph Neural Networks
Subgraph isomorphism counting is an important problem on graphs, as many...
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08/04/2022
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing
Demand estimation plays an important role in dynamic pricing where the o...
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06/03/2022
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank
Unbiased learning to rank (ULTR) aims to train an unbiased ranking model...
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10/27/2021
Node-wise Localization of Graph Neural Networks
Graph neural networks (GNNs) emerge as a powerful family of representati...
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05/14/2021
Meta-Inductive Node Classification across Graphs
Semi-supervised node classification on graphs is an important research p...
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11/28/2017
