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Papers
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework
ACL 2022
On Evaluation Metrics for Graph Generative Models
ICLR 2022
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
AAAI 2022
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
ICLR 2022
Pretrained Cost Model for Distributed Constraint Optimization Problems
AAAI 2022
Pre-training Molecular Graph Representation with 3D Geometry
ICLR 2022
Proving Theorems using Incremental Learning and Hindsight Experience Replay
ICML 2022
Redundancy-Free Message Passing for Graph Neural Networks
NeurIPS 2022
Reinforced Structured State-Evolution for Vision-Language Navigation
CVPR 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
AAAI 2022
Semantic Similarity as a Window into Vector- and Graph-Based Metrics
EMNLP 2022
Spherical Message Passing for 3D Molecular Graphs
ICLR 2022
Symmetry-induced Disentanglement on Graphs
NeurIPS 2022
Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity
NAACL 2022
Transformer-based Entity Typing in Knowledge Graphs
EMNLP 2022
Transformer-based Localization from Embodied Dialog with Large-scale Pre-training
AACL 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
What Dense Graph Do You Need for Self-Attention?
ICML 2022
Where To Start? Transferring Simple Skills to Complex Environments
CoRL 2022
3DPoseLite: A Compact 3D Pose Estimation Using Node Embeddings
WACV 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
NeurIPS 2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction
ACL 2021
Classifying Dyads for Militarized Conflict Analysis
EMNLP 2021
Controllable and Progressive Image Extrapolation
WACV 2021
Deep Relational Metric Learning
ICCV 2021