distillation prediction relational linkless
论文：Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM model
Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM model 基于 FAM-LSTM 模型的日光温室温湿度多步提前预测 题目：“Multistep ahead pr ......
SQLC - ERROR: relation "accounts" does not exist
Copied the example of sqlc.yaml generated by 'sqlc init' from https://docs.sqlc.dev/en/stable/tutorials/getting-started-postgresql.html# . Changed it ......
【略读论文|时序知识图谱补全】Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning
会议：SIGIR，时间：2023，学校：国防科技大学 摘要： 之前模型存在的问题：未能利用快照内结构信息的关系之间的语义相关性与快照间时间交互沿时间轴的周期性时间模式。 本文的工作：提出了一种新的推理模型（RPC）；它通过两个新的通信单元，即关系通信单元(RCU)和周期通信单元(PCU)，充分挖掘关 ......
Paper Reading: A hybrid deep forest-based method for predicting synergistic drug combinations
为了解决联合用药数据的不平衡、高维、样本数量有限的问题，本文首先构建了一个由药物的物理、化学和生物特性组成的特征集，包括了丰富的生物学信息。特征空间的每个维度都有特定的含义，便于进行可解释性分析，找出预测过程中的关键特征。针对这种不平衡的高维中型数据集，提出了一种改进的基于 Deep Forest ... ......
Linkless Link Prediction via Relational Distillation
目录概符号说明LLP代码 Guo Z., Shiao W., Zhang S., Liu Y., Chawla N. V., Shah N. and Zhao T. Linkless link prediction via relational distillation. ICML, 2023. 概 ......
Distilling Knowledge from Graph Convolutional Networks
目录概符号说明DistillGCNLocal Structure Preserving代码 Yang Y., Qiu J., Song M., Tao D. and Wang X. Distilling knowledge from graph convolutional networks. CVP ......
Decoupled Knowledge Distillation
目录概符号说明DKD代码 Zhao B., Cui Q., Song R., Qiu Y. and Liang J. Decoupled knowledge distillation. CVPR, 2022. 概 对普通的 KD (Knowledge Distillation) 损失解耦得到 Tar ......
城市时空预测的统一数据管理和综合性能评估 [实验、分析和基准]《Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]》
2023年11月1日，还有两个月，2023年就要结束了，希望在结束之前我能有所收获和进步，冲呀，老咸鱼。 摘要 解决了访问和利用不同来源、不同格式存储的不同城市时空数据集，以及确定有效的模型结构和组件。 1.为城市时空大数据设计的统一存储格式“原子文件”，并在40个不同的数据集上验证了其有效性，简化 ......
ST-SSL: 用于交通流量预测的时空自监督学习《Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction》(交通流量预测、自监督)
2023年10月23日，继续论文，好困，想发疯。 论文：Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Github：https://github.com/Echo-Ji/ST-SSL AAAI 2023的论文 ......
论文阅读：Knowledge Distillation via the Target-aware Transformer
摘要 Knowledge distillation becomes a de facto standard to improve the performance of small neural networks. 知识蒸馏成为提高小型神经网络性能的事实上的标准。 Most of the previo ......
[912] Airtable automation related stuff
ref: Airtable automation trigger: When record created ref: How to export data from Airtable The "When record created" trigger is triggered whenever a ......
2——of C++ class relative
C++类 C++和java都是面向对象的语言，所以类的语法上看起来相似，但也有些区别，比如访问控制符的书写规范。除此之外，在访问控制权限，静态static等内容也有很大区别 1.访问控制权限 访问控制符 //不加的默认私有 class player { int x, y; int speed; vo ......
Triangle Graph Interest Network for Click-through Rate Prediction
目录概TGINMotivation: Triangle 的重要性Model代码 Jiang W., Jiao Y., Wang Q., Liang C., Guo L., Zhang Y., Sun Z., Xiong Y. and Zhu Y. Triangle graph interest ne ......
Dual Graph enhanced Embedding Neural Network for CTR Prediction
目录概DG-ENN Guo W., Su R., Tan R., Guo H., Zhang Y., Liu Z., Tang R. and He X. Dual graph enhanced embedding neural network for ctr prediction. KDD, 202 ......
安装odoo13出现relation "ir_module_module" does not exist
全新安装的odoo，但启动时出现relation "ir_module_module" does not exist，以为是数据库要手动初始化，所以也在启动时加入-i base -d odoo13的命令，但也无效，注释addons_path就ok，但路径检查过是没有问题的，待启动之后，再打开addo ......
[论文精读][基于点云的蛋白-配体亲和力]A Point Cloud-Based Deep Learning Strategy for Protein-Ligand Binding Affinity Prediction
我需要的信息 代码，论文 不考虑共价键，每个点包括了六种原子信息，包括xyz坐标，范德华半径，原子重量以及来源（1是蛋白质，-1是配体）。原子坐标被标准化，其它参数也被标准化。对不足1024个原子的的复合体，补0到1024。 增加考虑的原子从1024到2048，没有提升，增加原子信息通道，没有提升（ ......
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
目录概Fi-GNN代码 Li Z., Cui Z., Wu S., Zhang X. and Wang L. Fi-GNN: Modeling feature interactions via graph neural networks for ctr prediction. CIKM, 2019. ......
django 设置外键的时候，related_name的值大写还是小写，规则怎样
django 设置外键的时候，related_name的值大写还是小写，规则怎样 在Django中，related_name参数用于定义反向关系的名称，即通过外键字段反向查询关联模型的对象。related_name的值是一个字符串，可以是大写也可以是小写，但通常建议使用小写字母，因为它们更符合Pyt ......
学习笔记427—Python Keras 报错AttributeError: 'Sequential' object has no attribute 'predict_classes'解决方法
Python Keras 报错AttributeError: 'Sequential' object has no attribute 'predict_classes'解决方法 本文文要介绍Python中，使用 Keras 执行yhat_classes = model.predict_classe ......
CSS，position: relative用法
展示图如下： 使左边区域固定展示，不受子域名的影响，所以要使用相对定位position: relative 相对定位一般使用父级菜单 绝对定位使用如下： 绝对定位一般使用子级菜单 position: absolute 悬浮遮盖其余位置 ......
8 Innovative BERT Knowledge Distillation Papers That Have Changed The Landscape of NLP
8 Innovative BERT Knowledge Distillation Papers That Have Changed The Landscape of NLP Contemporary state-of-the-art NLP models are difficult to be ut ......
Unbiased Knowledge Distillation for Recommendation
目录概UnKD代码 Chen G., Chen J., Feng F., Zhou S. and He X. Unbiased knowledge distillation for recommendation. WSDM, 2023. 概 考虑流行度偏差的知识蒸馏, 应用于推荐系统. UnKD M ......
Knowledge Distillation from A Stronger Teacher
目录概DIST代码 Huang T., You S., Wang F., Qian C. and Xu C. Knowledge distillation from a stronger teacher. NIPS, 2022. 概 用 Pearson correlation coefficient ......
[论文阅读] Anomaly detection via reverse distillation from one-class embedding
Anomaly detection via reverse distillation from one-class embedding Introduction 在知识蒸馏（KD）中，知识是在教师-学生（T-S）对中传递的。在无监督异常检测的背景下，由于学生在训练过程中只接触到正常样本，所以当查询是 ......
DE-RRD: A Knowledge Distillation Framework for Recommender System
目录概DE-RRDDistillation Experts (DE)Relaxed Ranking Distillation (RRD)代码 Kang S., Hwang J., Kweon W. and Yu H. DE-RRD: A knowledge distillation framewor ......
Topology Distillation for Recommender System
目录概Topology DistillationFull Topology Distillation (FTD)Hierarchical Topology Distillation (HTD)代码 Kang S., Hwang J., Kweon W. and Yu H. Topology dist ......
Collaborative Distillation for Top-N Recommendation
目录概符号说明Collaborative distillation (CD) Lee J., Choi M., Lee J. and Shim H. Collaborative distillation for top-N recommendation. ICDM, 2019. 概 Ranking- ......
Relational Knowledge Distillation
目录概符号说明RKD代码 Park W., Kim D., Lu Y. and Cho M. Relational knowledge distillation. CVPR, 2019. 概 符号说明 \(f_T, f_S\), teacher and student model; \(\mathc ......
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
目录概符号说明Ranking Distillation代码 Tang J. and Wang K. Ranking Distillation: Learning compact ranking models with high performance for recommender system. ......
流程图绘制-relation-graph 【尝试3】
# App.vue ```vue ``` # link.js ```js const links = [ { from: "a", to: "b", }, { from: "b", to: "c", }, { from: "c", to: "d", }, { from: "d", to: "e", ......