<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Lei Zhang</title><link>https://zhanglei.phd/publication_types/paper-conference/</link><atom:link href="https://zhanglei.phd/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 07 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://zhanglei.phd/media/icon_hu_102d14ed545eed19.png</url><title>Paper-Conference</title><link>https://zhanglei.phd/publication_types/paper-conference/</link></image><item><title>Network Interdiction Goes Neural</title><link>https://zhanglei.phd/publication/2025kdd/</link><pubDate>Mon, 07 Apr 2025 00:00:00 +0000</pubDate><guid>https://zhanglei.phd/publication/2025kdd/</guid><description/></item><item><title>Network Interdiction Goes Neural</title><link>https://zhanglei.phd/research/2025kdd/</link><pubDate>Mon, 07 Apr 2025 00:00:00 +0000</pubDate><guid>https://zhanglei.phd/research/2025kdd/</guid><description/></item><item><title>Unifying Spectral and Spatial Graph Neural Networks</title><link>https://zhanglei.phd/publication/2024cikm/</link><pubDate>Mon, 21 Oct 2024 00:00:00 +0000</pubDate><guid>https://zhanglei.phd/publication/2024cikm/</guid><description/></item><item><title>Infinitely Deep Graph Transformation Networks</title><link>https://zhanglei.phd/publication/2023icdm/</link><pubDate>Tue, 12 Dec 2023 00:00:00 +0000</pubDate><guid>https://zhanglei.phd/publication/2023icdm/</guid><description>
$$
\min_{\Theta_v, \Theta_e, W_{ev}, W_{ve}, \Omega} \mathcal{L}_1(F', g_{\Theta_e}(H_v)) + \mathcal{L}_2(E', f_{\Theta_e}(H_e)) , \\
\text{subject to: } H_e = \phi(W_{ve} H_v B ) , \\
H_v = \phi( W_{ev} \phi( W_{ve} H_v B ) B^{\intercal} +b_{\Omega}(E_0, F_0)) ,\\
\lambda_{pf}(B B^{\intercal}) \lambda_{pf} ( W_{ev}^{|\cdot|} W_{ve}^{|\cdot|}) &lt;1 .
$$</description></item><item><title>Infinitely Deep Graph Transformation Networks</title><link>https://zhanglei.phd/research/2023icdm/</link><pubDate>Tue, 12 Dec 2023 00:00:00 +0000</pubDate><guid>https://zhanglei.phd/research/2023icdm/</guid><description>
$$
\min_{\Theta_v, \Theta_e, W_{ev}, W_{ve}, \Omega} \mathcal{L}_1(F', g_{\Theta_e}(H_v)) + \mathcal{L}_2(E', f_{\Theta_e}(H_e)) , \\
\text{subject to: } H_e = \phi(W_{ve} H_v B ) , \\
H_v = \phi( W_{ev} \phi( W_{ve} H_v B ) B^{\intercal} +b_{\Omega}(E_0, F_0)) ,\\
\lambda_{pf}(B B^{\intercal}) \lambda_{pf} ( W_{ev}^{|\cdot|} W_{ve}^{|\cdot|}) &lt;1 .
$$</description></item></channel></rss>