LightDiC: A Simple yet Effective Approach for Large-scale Digraph
Representation Learning

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

22 January 2024

Zhengyu Wu

Papers citing "LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning"

5 / 5 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 May 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Xunkai Li Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 54 0 0 27 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 30 0 0 21 Jan 2025
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 69 80 0 02 Mar 2023
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018