Graph-level Neural Networks: Current Progress and Future Directions

Graph-level Neural Networks: Current Progress and Future Directions

31 May 2022

Ge Zhang

Jian Yang

Charu C. Aggarwal

Papers citing "Graph-level Neural Networks: Current Progress and Future Directions"

6 / 6 papers shown

Title
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lió Ming Li Guido Montúfar 48 69 0 13 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 218 498 0 20 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 139 123 0 17 Oct 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 167 170 0 09 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020