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08/28/2023
Large Graph Models: A Perspective
Large models have emerged as the most recent groundbreaking achievements...
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04/09/2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks
Graph Neural Networks (GNNs) obtain tremendous success in modeling relat...
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06/18/2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Graph neural architecture search (GraphNAS) has recently aroused conside...
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04/07/2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Various neural network models have been proposed to tackle combinatorial...
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02/16/2022
Out-Of-Distribution Generalization on Graphs: A Survey
Graph machine learning has been extensively studied in both academia and...
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01/04/2022
Automated Graph Machine Learning: Approaches, Libraries and Directions
Graph machine learning has been extensively studied in both academic and...
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12/23/2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
Geometric deep learning, i.e., designing neural networks to handle the u...
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12/07/2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Graph neural networks (GNNs) have achieved impressive performance when t...
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04/11/2021
AutoGL: A Library for Automated Graph Learning
Recent years have witnessed an upsurge of research interests and applica...
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03/01/2021
Automated Machine Learning on Graphs: A Survey
Machine learning on graphs has been extensively studied in both academic...
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02/07/2021
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network
Recently, real-world recommendation systems need to deal with millions o...
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09/05/2020
A Simple and General Graph Neural Network with Stochastic Message Passing
Graph neural networks (GNNs) are emerging machine learning models on gra...
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06/08/2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
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05/04/2020
Correlating Edge, Pose with Parsing
According to existing studies, human body edge and pose are two benefici...
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12/11/2018
Deep Learning on Graphs: A Survey
Deep learning has been shown successful in a number of domains, ranging ...
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09/27/2018
A Note on Spectral Clustering and SVD of Graph Data
Spectral clustering and Singular Value Decomposition (SVD) are both wide...
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05/07/2018
Billion-scale Network Embedding with Iterative Random Projection
Network embedding has attracted considerable research attention recently...
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04/12/2018