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06/13/2023
Top-Down Viewing for Weakly Supervised Grounded Image Captioning
Weakly supervised grounded image captioning (WSGIC) aims to generate the...
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06/11/2023
Local-to-global Perspectives on Graph Neural Networks
This thesis presents a local-to-global perspective on graph neural netwo...
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01/27/2023
On the Connection Between MPNN and Graph Transformer
Graph Transformer (GT) recently has emerged as a new paradigm of graph l...
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03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
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01/25/2022
Convergence of Invariant Graph Networks
Although theoretical properties such as expressive power and over-smooth...
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11/10/2021
Traffic4cast – Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
The IARAI competition Traffic4cast 2021 aims to predict short-term city-...
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10/06/2021
Equivariant Subgraph Aggregation Networks
Message-passing neural networks (MPNNs) are the leading architecture for...
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04/12/2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph
We present a SE(3)-equivariant graph neural network (GNN) approach that ...
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02/02/2021
Graph Coarsening with Neural Networks
As large-scale graphs become increasingly more prevalent, it poses signi...
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11/11/2020
Energy consumption forecasting using a stacked nonparametric Bayesian approach
In this paper, the process of forecasting household energy consumption i...
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06/23/2020
A Note on Over-Smoothing for Graph Neural Networks
Graph Neural Networks (GNNs) have achieved a lot of success on graph-str...
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03/10/2020
Elder-Rule-Staircodes for Augmented Metric Spaces
An augmented metric space is a metric space (X, d_X) equipped with a fun...
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01/16/2020
Understanding the Power of Persistence Pairing via Permutation Test
Recently many efforts have been made to incorporate persistence diagrams...
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09/11/2019
Group Representation Theory for Knowledge Graph Embedding
Knowledge graph embedding has recently become a popular way to model rel...
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06/11/2019
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications
The study focuses on estimating and predicting time-varying origin to de...
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06/11/2019
Traffic signal control optimization under severe incident conditions using Genetic Algorithm
Traffic control optimization is a challenging task for various traffic c...
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05/29/2019
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting
Predicting traffic incident duration is a major challenge for many traff...
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05/02/2019
Network Representation Learning: Consolidation and Renewed Bearing
Graphs are a natural abstraction for many problems where nodes represent...
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11/08/2018