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08/28/2023
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities
Self-supervised learning (SSL) is a growing torrent that has recently tr...
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06/05/2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs
A hypergraph is a data structure composed of nodes and hyperedges, where...
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06/04/2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Graph neural networks (GNNs) learn the representation of graph-structure...
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12/31/2022
UltraProp: Principled and Explainable Propagation on Large Graphs
Given a large graph with few node labels, how can we (a) identify the mi...
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10/08/2022
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success
Can we design a GNN that is accurate and interpretable at the same time?...
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08/16/2022
Role of Data Augmentation in Unsupervised Anomaly Detection
Self-supervised learning (SSL) has emerged as a promising alternative to...
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06/09/2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
Given a graph with partial observations of node features, how can we est...
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02/22/2022
Transition Matrix Representation of Trees with Transposed Convolutions
How can we effectively find the best structures in tree models? Tree mod...
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02/21/2022
Model-Agnostic Augmentation for Accurate Graph Classification
Given a graph dataset, how can we augment it for accurate graph classifi...
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12/28/2020
Signed Graph Diffusion Network
Given a signed social graph, how can we learn appropriate node represent...
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02/07/2018