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01 - Augmenting Neural Networks with First-order Logic.pdf
02 - Incorporating Literals into Knowledge Graph Embeddings.pdf
03 - SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS.pdf
04 - Text Generation from Knowledge Graphs with Graph Transformers.pdf
05 - Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems.pdf
06 - SAFE- Similarity-Aware Multi-Modal Fake News Detection.pdf
07 - learning_to_share_simultaneous_parameter_tying_and_sparsification_in_deep_learning.pdf
08 - Aligning Knowledge and Text Embeddings by Entity Descriptions.pdf
09 - Deep Graph Convolutional Encoders for Structured Data to Text Generation.pdf
10 - HOW POWERFUL ARE GRAPH NEURAL NETWORKS?.pdf
11 - SPARQA- Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases.pdf
12 - Genie- A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands.pdf
13 - VL-BERT- PRE-TRAINING OF GENERIC VISUALLINGUISTIC REPRESENTATIONS.pdf
14 - Incorporating External Knowledge into Machine Reading for Generative Question Answering.pdf
15 - Adaptive Parameterization for Neural Dialogue Generation.pdf
16 - Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models.pdf
17 - Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective.pdf
18 - Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.pdf
README.md