PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction-Reference-Cited by-同舟云学术

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
language:
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Author:

Zhang Shichang¹^ORCID,Zhang Jiani²^ORCID,Song Xiang²^ORCID,Adeshina Soji²^ORCID,Zheng Da²^ORCID,Faloutsos Christos³^ORCID,Sun Yizhou⁴^ORCID

Affiliation:

1. University of California, Los Angeles, USA

2. Amazon, USA

3. Carnegie Mellon University, USA and Amazon, USA

4. University of California, Los Angeles, USA and Amazon, USA

Funder

Okawa Foundation Grant

Picsart Gifts

SRC

NASA

Cisco Research Grant

NSF (National Science Foundation)

Snapchat Gifts

Amazon Research Awards

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583511

Reference56 articles.

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2. Béla Bollobás . 1984. The evolution of sparse graphs , Graph theory and combinatorics ( Cambridge , 1983 ). Béla Bollobás. 1984. The evolution of sparse graphs, Graph theory and combinatorics (Cambridge, 1983).

3. UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference

4. Edsger W Dijkstra . 1959. A note on two problems in connexion with graphs. Numerische mathematik 1, 1 ( 1959 ), 269–271. Edsger W Dijkstra. 1959. A note on two problems in connexion with graphs. Numerische mathematik 1, 1 (1959), 269–271.

5. Fast discovery of connection subgraphs

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