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06/15/2023
Kriging Convolutional Networks
Spatial interpolation is a class of estimation problems where locations ...
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05/25/2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Data subsampling is widely used to speed up the training of large-scale ...
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05/06/2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Diffusion-based generative graph models have been proven effective in ge...
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11/26/2022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
Recently the Transformer structure has shown good performances in graph ...
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11/19/2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Learning to generate graphs is challenging as a graph is a set of pairwi...
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10/19/2022
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning
Subgraph similarity search, one of the core problems in graph search, co...
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01/22/2022
Predicting Physics in Mesh-reduced Space with Temporal Attention
Graph-based next-step prediction models have recently been very successf...
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09/28/2021
Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction
Despite experimental and curation efforts, the extent of enzyme promiscu...
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06/25/2021
Ladder Polynomial Neural Networks
Polynomial functions have plenty of useful analytical properties, but th...
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06/04/2021
Stochastic Iterative Graph Matching
Recent works leveraging Graph Neural Networks to approach graph matching...
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03/29/2021
Modeling Graph Node Correlations with Neighbor Mixture Models
We propose a new model, the Neighbor Mixture Model (NMM), for modeling n...
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12/14/2020
GAN Ensemble for Anomaly Detection
When formulated as an unsupervised learning problem, anomaly detection o...
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12/12/2019
Pathway Activity Analysis and Metabolite Annotation for Untargeted Metabolomics using Probabilistic Modeling
Motivation: Untargeted metabolomics comprehensively characterizes small ...
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05/20/2014
