<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>J. Dong | Jun Liu | XJTU</title><link>https://liujun-xjtu.github.io/en/authors/j.-dong/</link><atom:link href="https://liujun-xjtu.github.io/en/authors/j.-dong/index.xml" rel="self" type="application/rss+xml"/><description>J. Dong</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><item><title>A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction</title><link>https://liujun-xjtu.github.io/en/publication/a-symbolic-rule-integration-framework-with-logic-transformer-for-inductive-relation-prediction/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/a-symbolic-rule-integration-framework-with-logic-transformer-for-inductive-relation-prediction/</guid><description/></item><item><title>B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning</title><link>https://liujun-xjtu.github.io/en/publication/b2-sampling-fusing-balanced-and-biased-sampling-for-graph-contrastive-learning/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liujun-xjtu.github.io/en/publication/b2-sampling-fusing-balanced-and-biased-sampling-for-graph-contrastive-learning/</guid><description/></item></channel></rss>