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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 8: AAAI-22 Technical Tracks 8

Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification

February 1, 2023

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Authors

Yaokang Zhu

School of Software Engineering, East China Normal University


Kai Zhang

School of Computer Science, East China Normal University


Jun Wang

School of Computer Science, East China Normal University


Haibin Ling

Stony Brook University


Jie Zhang

Fudan University


Hongyuan Zha

The Chinese University of Hong Kong (Shenzhen)


DOI:

10.1609/aaai.v36i8.20912


Abstract:

Graph neural networks are a promising architecture for learning and inference with graph-structured data. Yet, how to generate informative, fixed dimensional features for graphs with varying size and topology can still be challenging. Typically, this is achieved through graph-pooling, which summarizes a graph by compressing all its nodes into a single vector. Is such a “collapsing-style” graph-pooling the only choice for graph classification? From complex system’s point of view, properties of a complex system arise largely from the interaction among its components. Therefore, we speculate that preserving the interacting relation between parts, instead of pooling them together, could benefit system level prediction. To verify this, we propose SLIM, a graph neural network model for Structural Landmarking and Interaction Modelling. The main idea is to compute a set of end-to-end optimizable sub-structure landmarks, so that any input graph can be projected onto these (spatially) local structural representatives for a faithful, global characterization. By doing so, explicit interaction between component parts of a graph can be leveraged directly in generating discriminative graph representation. Encouraging results are observed on benchmark datasets for graph classification, demonstrating the value of interaction modelling in the design of graph neural networks.

Topics: AAAI

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HOW TO CITE:

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification Proceedings of the AAAI Conference on Artificial Intelligence (2022) 9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022, 9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha (2022). Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. 2022. Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification. "Proceedings of the AAAI Conference on Artificial Intelligence". 9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. (2022) "Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification", Proceedings of the AAAI Conference on Artificial Intelligence, p.9251-9259

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha, "Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification", AAAI, p.9251-9259, 2022.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. "Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. "Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 9251-9259.

Yaokang Zhu||Kai Zhang||Jun Wang||Haibin Ling||Jie Zhang||Hongyuan Zha. Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification. AAAI[Internet]. 2022[cited 2023]; 9251-9259.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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