| Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation | 0 | 0.34 | 2022 |
| Automatic Generation of Product-Image Sequence in E-commerce | 0 | 0.34 | 2022 |
| Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting | 0 | 0.34 | 2022 |
| Deep Learning on Graphs: Methods and Applications (DLG-KDD2022) | 0 | 0.34 | 2022 |
| MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection | 0 | 0.34 | 2022 |
| Intelligent Online Selling Point Extraction for E-commerce Recommendation. | 0 | 0.34 | 2022 |
| Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation | 0 | 0.34 | 2022 |
| Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. | 0 | 0.34 | 2022 |
| Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing | 0 | 0.34 | 2022 |
| Graph Neural Networks: Foundation, Frontiers and Applications | 0 | 0.34 | 2022 |
| Feeding What You Need by Understanding What You Learned | 0 | 0.34 | 2022 |
| Automatic Product Copywriting for E-commerce. | 0 | 0.34 | 2022 |
| Automatic Controllable Product Copywriting for E-Commerce | 0 | 0.34 | 2022 |
| Compact Graph Structure Learning via Mutual Information Compression | 0 | 0.34 | 2022 |
| Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. | 0 | 0.34 | 2022 |
| Accepted Tutorials at The Web Conference 2022 | 0 | 0.34 | 2022 |
| Adversarial Attack against Cross-lingual Knowledge Graph Alignment. | 0 | 0.34 | 2021 |
| Graph Adversarial Attack via Rewiring | 0 | 0.34 | 2021 |
| Relation-Aware Graph Attention Model With Adaptive Self-Adversarial Training | 0 | 0.34 | 2021 |
| Deep Learning on Graphs for Natural Language Processing | 0 | 0.34 | 2021 |
| Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. | 0 | 0.34 | 2021 |
| Graph-Augmented Code Summarization in Computational Notebooks. | 0 | 0.34 | 2021 |
| HAConvGNN - Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. | 0 | 0.34 | 2021 |
| The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21) | 0 | 0.34 | 2021 |
| Technical Question Answering across Tasks and Domains. | 0 | 0.34 | 2021 |
| Deep Graph Matching and Searching for Semantic Code Retrieval | 3 | 0.38 | 2021 |
| Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN | 1 | 0.37 | 2021 |
| Constructing contrastive samples via summarization for text classification with limited annotations. | 0 | 0.34 | 2021 |
| Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. | 0 | 0.34 | 2021 |
| Deep Learning on Graphs for Natural Language Processing | 0 | 0.34 | 2021 |
| Sequential Search with Off-Policy Reinforcement Learning | 0 | 0.34 | 2021 |
| Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks | 0 | 0.34 | 2021 |
| Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings | 0 | 0.34 | 2020 |
| Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward | 0 | 0.34 | 2020 |
| Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement | 0 | 0.34 | 2020 |
| GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension | 1 | 0.35 | 2020 |
| Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem | 0 | 0.34 | 2020 |
| A Technical Question Answering System with Transfer Learning. | 0 | 0.34 | 2020 |
| Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description | 1 | 0.35 | 2020 |
| Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. | 0 | 0.34 | 2020 |
| Deep Graph Learning: Foundations, Advances and Applications | 1 | 0.35 | 2020 |
| A Joint Neural Model for Information Extraction with Global Features | 0 | 0.34 | 2020 |
| Improved Code Summarization via a Graph Neural Network | 12 | 0.51 | 2020 |
| RDF-to-Text Generation with Graph-augmented Structural Neural Encoders | 0 | 0.34 | 2020 |
| A Multi-Perspective Architecture for Semantic Code Search | 1 | 0.35 | 2020 |
| Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation | 2 | 0.36 | 2020 |
| Crossing Variational Autoencoders for Answer Retrieval | 2 | 0.36 | 2020 |
| Dyngraph2seq: Dynamic-Graph-To-Sequence Interpretable Learning For Health Stage Prediction In Online Health Forums | 1 | 0.35 | 2019 |
| Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification | 0 | 0.34 | 2019 |
| High-Fidelity Vector Space Models of Structured Data. | 0 | 0.34 | 2019 |
