IEEE

DynKDD: Dynamic Graph-Based Network Intrusion Detection Using Graph Neural Networks

Abstract: The inability to capture the temporal dynamics of network interactions limits traditional intrusion detection systems (IDSs) in detecting sophisticated threats that evolve over time. This ...
GitHub

LLMRec: Large Language Models with Graph Augmentation for Recommendation

# LLMRec python ./main.py # w/o-u-i python ./main.py --aug_sample_rate=0.0 # w/o-u python ./main.py --user_cat_rate=0 # w/o-u&i python ./main.py --user_cat_rate=0 --item_cat_rate=0 # w/o-prune python ...
来自MSN

Using transformations and a table to graph absolute value equations

👉 Learn how to graph absolute value equations when we have a value of b other than 1. B will affect our horizontal shift as well as horizontal stretch compress. We will do this by first identifying ...
IEEE

A Debiased Graph Clustering Approach Using Dual Contrastive Learning

Abstract: Node and graph-level clustering hold considerable significance for a wide range of applications, including drug target identification and protein function prediction. Recently, contrastive ...
GitHub

lxt-python/lianjia-spider

hz: 杭州, sz: 深圳, dl: 大连, fs: 佛山 xm: 厦门, dg: 东莞, gz: 广州, bj: 北京 cd: 成都, sy: 沈阳, jn: 济南, sh: 上海 tj: 天津, qd: 青岛 ...