ICML2020推荐系统相关论文
Graph Convolutional Network for Recommendation with Low-pass
Collaborative Filters
Optimization and Analysis of the pAp@k Metric for Recommender Systems
Optimizing Long-term Social Welfare in Recommender Systems: A
Constrained Matching Approach
Ordinal Non-negative Matrix Factorization for Recommendation
Learning to Ask More: Semi-Autoregressive Sequential Question
Generation under Dual-Graph Interaction.
Every Document Owns Its Structure: Inductive Text Classification via
Graph Neural Networks.
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News
Detection on Social Media.
Integrating Semantic and Structural Information with Graph
Convolutional Network for Controversy Detection.
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph
Attention Networks.
Query Graph Generation for Answering Multi-hop Complex Questions from
Knowledge Bases.
A Graph Auto-encoder Model of Derivational Morphology.
AMR Parsing via Graph-Sequence Iterative Inference.
Semantic Graphs for Generating Deep Questions.
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine
Translation.
Relational Graph Attention Network for Aspect-based Sentiment
Analysis.
Syntax-Aware Opinion Role Labeling with Dependency Graph
Convolutional Networks.
Entity-Aware Dependency-Based Deep Graph Attention Network for
Comparative Preference Classification.
Heterogeneous Graph Neural Networks for Extractive Document
Summarization.
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based
Sentiment Classification.
Document Modeling with Graph Attention Networks for Multi-grained
Machine Reading Comprehension.
Aligned Dual Channel Graph Convolutional Network for Visual Question
Answering.
Multimodal Neural Graph Memory Networks for Visual Question
Answering.
Fine-grained Fact Verification with Kernel Graph Attention Network
Continuous Graph Neural Networks
Query Graph Generation for Answering Multi-hop Complex Questions from
Knowledge Bases.
Grounded Conversation Generation as Guided Traverses in Commonsense
Knowledge Graphs.
Can We Predict New Facts with Open Knowledge Graph Embeddings? A
Benchmark for Open Link Prediction.
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded
Conversational Agents.
Knowledge Graph Embedding Compression.
Orthogonal Relation Transforms with Graph Context Modeling for
Knowledge Graph Embedding.
Breaking Through the 80% Glass Ceiling: Raising the State of the Art
in Word Sense Disambiguation by Incorporating Knowledge Graph
Information.
SEEK: Segmented Embedding of Knowledge Graphs.
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment
Analysis.
Improving Multi-hop Question Answering over Knowledge Graphs using
Knowledge Base Embeddings.
Knowledge Graph-Augmented Abstractive Summarization with
Semantic-Driven Cloze Reward.
A Re-evaluation of Knowledge Graph Completion Methods.
ReInceptionE: Relation-Aware Inception Network with Joint
Local-Global Structural Information for Knowledge Graph Embedding.
Connecting Embeddings for Knowledge Graph Entity Typing.
Low-Dimensional Hyperbolic Knowledge Graph Embeddings.****