WWW2020 图相关论文集

与世无争的帅哥 提交于 2020-12-02 05:52:55

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WWW2020 图相关论文集

WWW(International World Wide Web Conferences,国际万维网大会),由国际万维网会议指导委员会主办,是CCF A类会议。

全部收录论文列表:https://dblp.uni-trier.de/db/conf/www/www2020.html

01

Full Paper

图卷积

  • Unsupervised Domain Adaptive Graph Convolutional Networks
  • A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement

异构图

  • Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding
  • MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

图注意力模型

  • Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems
  • Graph Attention Topic Modeling Network
  • High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking

图特征学习

  • Graph Representation Learning via Graphical Mutual Information Maximization
  • Graph Enhanced Representation Learning for News Recommendation

图对抗攻击

  • Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

图生成模型

  • GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation

图聚类

  • Clustering in graphs and hypergraphs with categorical edge labels

动态图

  • Dynamic Graph Convolutional Networks for Entity Linking

链路预测

  • Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction

知识图谱

  • Relation Adversarial Network for Low Resource Knowledge Graph Completion
  • Reinforced Negative Sampling over Knowledge Graph for Recommendation
  • ASER: A Large-scale Eventuality Knowledge Graph
  • Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings
  • Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
  • What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
  • Complex Factoid Question Answering with a Free-Text Knowledge Graph
  • Adaptive Low-level Storage of Very Large Knowledge Graphs
  • Collective Multi-type Entity Alignment Between Knowledge Graphs

时空图

  • Traffic Flow Prediction via Spatial Temporal Graph Neural Network

图生成

  • GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation

GNN

  • Learning to Hash with Graph Neural Networks for Recommender Systems
  • TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

扩展

推荐系统

  • Weakly Supervised Attention for Hashtag Recommendation using Graph Data
  • Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit

其他

  • Smaller, Faster & Lighter KNN Graph Constructions
  • Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks
  • Finding large balanced subgraphs in signed networks
  • Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem
  • Flowless: Extracting Densest Subgraphs Without Flow Computations
  • Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs
  • Searching for polarization in signed graphs: a local spectral approach
  • Power-Law Graphs Have Minimal Scaling of Kemeny Constant for Random Walks

02

Short Paper

异构图

  • Heterogeneous Graph Transformer

链路预测

  • Searching for Embeddings in a Haystack: Link Prediction on Knowledge Graphs with Subgraph Pruning
  • Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network

图特征学习

  • Graph Enhanced Representation Learning for News Recommendation
  • Learning Temporal Interaction Graph Embedding via Coupled Memory Networks

知识图谱

  • Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs
  • Graph-Query Suggestions for Knowledge Graph Exploration

图聚类

  • One2Multi Graph Autoencoder for Multi-view Graph Clustering

超图

  • How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction

图比较

  • Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs

行为预测

  • Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

图池化方法

  • Structure-Feature based Graph Self-adaptive Pooling

其他

  • Higher-Order Label Homogeneity and Spreading in Graphs
  • Deconstruct Densest Subgraphs
  • Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations


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