腾讯安全科恩实验室《Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection》论文入选人工智能领域顶级学术会议...Networks for Binary Code Similarity Detection 单位 | 腾讯安全科恩实验室 引言 & 背景 二进制代码分析是信息安全领域中非常重要的研究领域之一，其中一类目标是在不访问源代码的情况下检测相似的二进制函数...在structural-aware模块，使用MPNN算法3得到graph semantic & structural embedding。...在order-aware模块，模型将控制流图的邻接矩阵作为输入，并使用CNN计算graph order embedding。...Neural network-based graph embedding for crossplatform binary code similarity detection.
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. Xin et al....Neural News Recommendation with Attentive Multi-View Learning. Qiong et al....A Review-Driven Neural Model for Sequential Recommendation. 视频推荐 Huan et al....Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation....Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation.
二进制代码相似度（BCSD，Binary Code Similarity Detection），是二进制相似性分析的核心方法，用于检测两个或多个二进制代码文件之间的相似性，以此区分是否进行了组件复用。...Order matters: Semantic-aware neural networks for binary code similarity detection[C]//Proceedings of...Neural network-based graph embedding for cross-platform binary code similarity detection[C]//Proceedings...Codecmr: Cross-modal retrieval for function-level binary source code matching[J]....Order matters: Semantic-aware neural networks for binary code similarity detection[C]//Proceedings of
ACL 2019 [pdf] [code] A Lexicon-Based Graph Neural Network for Chinese NER....ACL 2020 [pdf] [code] Knowledge Graph Estimating Node Importance in Knowledge Graphs Using Graph Neural...COLING 2020 [pdf] Knowledge Graph Embedding with Atrous Convolution and Residual Learning....COLING 2020 [pdf] Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical...Neural Graph Embedding Methods for Natural Language Processing, Shikhar Vashishth, Indian Institute of
Embedding Network for Context-Drifting Recommendations Improving Knowledge-aware Recommendation...Neural Network for Personalized Micro-video Recommendation Multi-level Contrastive Learning Framework...Neural Networks Storage-saving Transformer for Sequential Recommendations Target Interest Distillation...Embedding for Domain-Level Zero-Shot Recommendation Time Lag Aware Sequential Recommendation Towards...Convolution Network-based Collaborative Filtering MDGCF: Multi-Dependency Graph Collaborative Filtering
://arxiv.org/abs/2103.02164 代码：https://paperswithcode.com/paper/dynamic-gaussian-mixture-based-deep#code...Neural Network-Based Anomaly Detection in Multivariate Time Series 下载：https://arxiv.org/abs/2106.06947...://ojs.aaai.org/index.php/AAAI/article/view/16875 代码：未找到 ChronoR: Rotation Based Temporal Knowledge Graph...Embedding 下载：https://arxiv.org/abs/2103.10379 代码：未找到 Learning from History: Modeling Temporal Knowledge...下载：https://arxiv.org/abs/2010.09107 代码：https://github.com/hamrel-cxu/EnbPI Z-GCNETs: Time Zigzags at Graph
MTAG-GAT 该文章发表在ICDM 2020，论文题目为：Multivariate time-series anomaly detection via graph attention network...GDN 该文章发表在AAAI 2021，论文题目为：Graph neural network-based anomaly detection in multivariate time series。...假设每个节点除了自身时间序列特征，还可以额外用一个embedding ? 来表示，这样就可以根据embedding之间的相关性来判断两个节点是否存在连接，然后取Top K来构造邻接矩阵即可。 ?...有个图结构后，利用图注意力网络来进行特征提取，其中注意力系数的计算同时考虑原始时间序列（的线性变换）和额外的这个embedding ?...输出层为图神经网络提取后的特征逐元素乘以额外的embedding向量，再通过全连接层 ? 最后优化的目标函数为预测误差。即原始特征为t时刻以前的数据 ? ， 预测输出为t时刻的数据 ? 。
Quantum Circuit Model for Knowledge Graph Embedding....[Paper] [Code] Towards Understanding the Geometry of Knowledge Graph Embedding. ACL 2018....[Paper] [Code] Differentiating Concepts and Instances for Knowledge Graph Embedding. EMNLP 2018....[Paper] [Code] 动态知识图谱 HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding....[Paper] [Code] Reasoning with neural tensor networks for knowledge base completion. NIPS 2013.
Network for OCR Towards Accurate Binary Convolutional Neural Network Semi-Supervised Learning for Optical...Network-Based Identification of Precursor microRNAs Robust Estimation of Neural Signals in Calcium Imaging...code is relevant for behavior Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks...Marginal Value of Adaptive Gradient Methods in Machine Learning Aggressive Sampling for Multi-class to Binary...Networks by Noise: Its Interpretation and Optimization Learning Graph Embeddings with Embedding Propagation
to map high-dimensional features to compact binary codes, or directly adopt deep neural networks by...Coding (ABC) framework guides the extraction of binary codes implicitly and effectively....A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking（一种扩展的交叉区域重排序的对行人再识别的姿态敏感的嵌入...that incorporates both the fine and coarse pose information of the person to learn a discriminative embedding...The code is available online at: https://github.com/pse-ecn/pose-sensitive-embedding ?
TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation,...TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation,..., glyph embedding and phonetic embedding....DEEPBINDIFF: Learning Program-Wide Code Representations for Binary Diffing, NDSS20....As an end user, it is sufficient to take Step ④ and ⑤ for binary instrumentation where pre-computed feature-code
Basic Embedding Model 1-1....NNLM(Neural Network Language Model) - Predict Next Word Paper - A Neural Probabilistic Language Model...Word2Vec(Skip-gram) - Embedding Words and Show Graph Paper - Distributed Representations of Words and...TextCNN - Binary Sentiment Classification Paper - Convolutional Neural Networks for Sentence Classification...Bi-LSTM with Attention - Binary Sentiment Classification Colab - Bi_LSTM(Attention).ipynb 5.
image.png MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems https...embedding，这些embedding可以来自同一个样本，也可以不是。...其中 f_Q 函数计算第 l 层的embedding和user的embedding的相似度，返回和user最相似的item的embedding。...然后将该embedding和当前层 l 中所有embedding e_{v_m}^{(l)} 做内积，选取得分最高的embedding作为当前层的embedding。...2.3 损失函数 本文采用BPR损失来衡量正负样本对之间的关系，其中 e_u,e_{v^-},e_{v^+} 分别表示用户embedding，生成的难负样本embedding和正样本的embedding
Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets（通过对三元组阶感知重加权来提高深层二进制嵌入网络...embedding networks for image retrieval task....We find that mid-level features extracted by pre-trained convolutional neural nets are surprisingly effective...Embedding (DBE) layers....López-Sastre 摘要：A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are
(code) understanding convolutions and your first neural network for a digit recognizer....(slides) Generative Adversarial Networks (code) Conditional and Info GANs Day 4: Reccurrent Neural Networks...: slides and associated code (code) PyTorch tutorial on char-RNN (code) Word2vec (code) Playing with...word embedding Structured Self-attentive Sentence Embedding papercode to obtain Glove NLP mini-project...Day 5: (slides) Opening the black box (code) CAM (code) Adversarial examples Graph Neural Networks by
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation, WWW2023 2....Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation, WWW2023 Di Jin,...At present, graph neural networks (GNNs) for session-based recommendations normally can only recommend...To solve this problem, we propose a dual-intent enhanced graph neural network for it...., Graph Neural Networks) have achieved improved performance in sequential recommendation with high-order
Our code has also been made available at https://github.com/happynear/AMSoftmax ?...To this end, we divide the last embedding layer of a deep network into an embedding ensemble and formulate...correlation of the embedding and consequently increase retrieval accuracy of the embedding....Adaptive Graph Convolutional Neural Networks（自适应图卷积神经网络） ---- ---- 作者：Ruoyu Li,Sheng Wang,Feiyun Zhu,...Junzhou Huang 摘要：Graph Convolutional Neural Networks (Graph CNNs) are generalizations of classical CNNs
TGP: Explainable Temporal Graph Neural Networks for Personalized Recommendation 8....The key design is a learned binary route to prevent the behavior pathway from being overwhelmed by trivial...id=FKXVK9dyMM Graph neural network (GNN) is a powerful learning approach for graph-based recommender...TGP: Explainable Temporal Graph Neural Networks for Personalized Recommendation Ratings: 5, 5, 5 https...The source code will be released in the future. 24.
BP-Transformer from FDU&AWS」 Set Transformer: A Framework for Attention-based Permutation-Invariant Neural...1.1 Multihead Attention Block（MAB） 其实就是没有「position embedding」和「dropout」的transformer encoder 1.2 Set...「节点的建立」 对于长度为 的输入序列，经过binary partition之后可以得到 个节点（即一棵完美二叉树）。...「Graph Self-Attention (GSA)」 可以表示为， 所有span nodes都初始化为零向量，而token nodes则使用词向量初始化。...Permutation-Invariant Neural Networks: http://proceedings.mlr.press/v97/lee19d/lee19d.pdf [2] Code Here
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