最新AAAI2020論文全部放出來！

AAAI 2020 將於美國紐約舉辦，時間在 2 月 7 日-2 月 12 日，本屆大會將是第 34 屆 AAAI 大會。 AAAI 的英文全稱是 Association for the Advance of Artificial Intelligence——美國人工智慧協會。該協會是人工智慧領域的主要學術組織之一，其主辦的年會也是人工智慧領域的國際頂級會議。在中國計算機學會的國際學術會議排名以及清華大學新發布的計算機科學推薦學術會議和期刊列表中，AAAI 均被列為人工智慧領域的 A 類頂級會議。

關於AAAI2020的總結：

AAAI2020論文已經在DBLP放出：

小編為大家收集整理出推薦、網路表示學習和GNN、知識圖譜以及多模態方向的論文：

一. 推薦

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation。

Question-Driven Purchasing Propensity Analysis for Recommendation。

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation。

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation。

Fair Updates in Two-Sided Market Platforms： On Incrementally Updating Recommendations。

Towards Comprehensive Recommender Systems： Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data。

PEIA： Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms。

Where to Go Next： Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation。

Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation。

Table2Analysis： Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data。

Enhancing Personalized Trip Recommendation with Attractive Routes。

Towards Hands-Free Visual Dialog Interactive Recommendation。

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback。

Sequential Recommendation with Relation-Aware Kernelized Self-Attention。

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval。

Symmetric Metric Learning with Adaptive Margin for Recommendation。

Diversified Interactive Recommendation with Implicit Feedback

Memory Augmented Graph Neural Networks for Sequential Recommendation。

Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation。

Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests。

A Knowledge-Aware Attentional Reasoning Network for Recommendation。

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation。

Understanding Chat Messages for Sticker Recommendation in Messaging Apps。

Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation。

Discovery News： A Generic Framework for Financial News Recommendation。

Towards an Integrative Educational Recommender for Lifelong Learners （Student Abstract）。

Deep Ranking for Style-Aware Room Recommendations （Student Abstract）。

二。 網路表示學習 & 圖神經網路 相關

General Partial Label Learning via Dual Bipartite Graph Autoencoder。

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network。

RoadTagger： Robust Road Attribute Inference with Graph Neural Networks。

Location-Aware Graph Convolutional Networks for Video Question Answering。

Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition。

Reasoning with Heterogeneous Graph Alignment for Video Question Answering。

Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation。

Learning Cross-Modal Context Graph for Visual Grounding。

Hybrid Graph Neural Networks for Crowd Counting。

DGCN： Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation。

Dynamic Graph Representation for Occlusion Handling in Biometrics。

Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks。

Multi-Label Classification with Label Graph Superimposing。

Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification。

Universal-RCNN： Universal Object Detector via Transferable Graph R-CNN。

SOGNet： Scene Overlap Graph Network for Panoptic Segmentation。

Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution。

Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification。

Find Objects and Focus on Highlights： Mining Object Semantics for Video Highlight Detection via Graph Neural Networks。

Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network。

Interactive Scene Generation via Scene Graphs with Attributes。

Bayesian Adversarial Attack on Graph Neural Networks （Student Abstract）。

Meta-Learning on Graph with Curvature-Based Analysis （Student Abstract）。

Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets （Student Abstract）。

Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search （Student Abstract）。

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三。 知識圖譜

Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation。

AAAI Technical Track： Knowledge Representation and Reasoning

Learning Triple Embeddings from Knowledge Graphs。

Diachronic Embedding for Temporal Knowledge Graph Completion。

Reasoning on Knowledge Graphs with Debate Dynamics。

Differentiable Reasoning on Large Knowledge Bases and Natural Language。

End-to-End Argumentation Knowledge Graph Construction。

Inducing Relational Knowledge from BERT。

Knowledge-Graph Augmented Word Representations for Named Entity Recognition。

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs。

SPARQA： Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases。

Knowledge Graph Transfer Network for Few-Shot Recognition。

When Radiology Report Generation Meets Knowledge Graph。

Towards Adversarially Robust Knowledge Graph Embeddings。

Link Prediction between Group Entities in Knowledge Graphs （Student Abstract）。

HGMAN： Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph （Student Abstract）。

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四。 多模態

MULE： Multimodal Universal Language Embedding。

Unicoder-VL： A Universal Encoder for Vision and Language by Cross-Modal Pre-Training。

Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion。

Multimodal Structure-Consistent Image-to-Image Translation。

Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval。

Learning Cross-Modal Context Graph for Visual Grounding。

Multimodal Interaction-Aware Trajectory Prediction in Crowded Space。

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification。

Adaptive Cross-Modal Embeddings for Image-Text Alignment。

Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval。

Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification。

Diana‘s World： A Situated Multimodal Interactive Agent。

Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns。

Trimodal Attention Module for Multimodal Sentiment Analysis （Student Abstract）。

SpotFake+： A Multimodal Framework for Fake News Detection via Transfer Learning （Student Abstract）。

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