We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Python 597 107
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Python 419 95
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Python 290 64
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
CSS 247 48
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Python 185 32
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Python 173 50
ACL 2019: Zero-shot Word Sense Disambiguation using Sense Definition Embedding
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
TACL 2020: Syntax-Guided Controlled Generation of Paraphrases
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
EMNLP 2019: CaRe: Open Knowledge Graph Embeddings
WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
ACL 2018: Dating Documents using Graph Convolution Networks
Loading…