论文解读（JKnet）《Representation Learning on Graphs with Jumping Knowledge Networks》
论文信息 论文标题：Representation Learning on Graphs with Jumping Knowledge Networks论文作者：Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ke ......![]()
Proximal Algorithms 2 Properties
目录 可分和 基本的运算 不动点 fixed points Moreau decomposition 如果\(f\)可分为俩个变量:\(f(x, y)=\varphi(x) + \psi(y)\), 于是: 如果\(f\)是完全可分 ......![]()
谣言检测（）《Data Fusion Oriented Graph Convolution Network Model for Rumor Detection》
论文信息 论文标题：Data Fusion Oriented Graph Convolution Network Model for Rumor Detection论文作者：Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin ......![]()
谣言检测（PSIN）——《Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media》
论文信息 论文标题：Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media论文作者：Erxue Min, Yu Rong, Yatao Bian, Ti ......![]()
Sequence Model-week1编程题1（一步步实现RNN与LSTM）
一步步搭建循环神经网络 将在numpy中实现一个循环神经网络 Recurrent Neural Networks (RNN) are very effective for Natural Language Processing and other se ......![]()
Latex符号
$\hat{x}$ : \(\hat{x}\) $\widehat{x}$ : \(\widehat{x}\) $\tilde{x}$ : \(\tilde{x}\) $\widetilde{x}$ : \(\widetilde{x}\) $\dot{x}$ : \(\dot{x}\) $\alp ......Proximal Algorithms 4 Algorithms
目录 Proximal minimization 解释 Gradient flow 解释1 最大最小算法 不动点解释 Forward-backward 迭代解释 加速 proximal gradient method 交替方向方法 ADMM ......![]()
论文翻译：2023_THLNet: two-stage heterogeneous lightweight network for monaural speech enhancement
论文地址：THLNet: 用于单耳语音增强的两级异构轻量级网络 代码：https://github.com/dangf15/THLNet 引用格式：Dang F, Hu Q, Zhang P. THLNet: two-stage heterog ......![]()
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
目录 问题 假设和重要结果 证明 注 Laurent T, Von Brecht J H. Deep linear networks with arbitrary loss: All local minima are global[C]. international c ......![]()
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