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08/12/2023
Approximate Answering of Graph Queries
Knowledge graphs (KGs) are inherently incomplete because of incomplete w...
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06/07/2023
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph
Machine learning models exhibit strong performance on datasets with abun...
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05/21/2023
PRODIGY: Enabling In-context Learning Over Graphs
In-context learning is the ability of a pretrained model to adapt to nov...
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03/26/2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Complex logical query answering (CLQA) is a recently emerged task of gra...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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10/17/2022
Deep Bidirectional Language-Knowledge Graph Pretraining
Pretraining a language model (LM) on text has been shown to help various...
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10/13/2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot knowledge graph (KG) completion task aims to perform inductive ...
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10/13/2022
Inductive Logical Query Answering in Knowledge Graphs
Formulating and answering logical queries is a standard communication in...
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10/04/2022
TripleE: Easy Domain Generalization via Episodic Replay
Learning how to generalize the model to unseen domains is an important a...
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05/23/2022
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Visual understanding requires seamless integration between recognition a...
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01/21/2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Answering complex questions about textual narratives requires reasoning ...
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10/28/2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Hierarchical relations are prevalent and indispensable for organizing hu...
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10/28/2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Knowledge graphs (KGs) capture knowledge in the form of head–relation–ta...
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07/12/2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Transformers provide a class of expressive architectures that are extrem...
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04/13/2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
The problem of answering questions using knowledge from pre-trained lang...
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03/17/2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Enabling effective and efficient machine learning (ML) over large-scale ...
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10/24/2020
Graph Information Bottleneck
Representation learning of graph-structured data is challenging because ...
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10/22/2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
One of the fundamental problems in Artificial Intelligence is to perform...
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08/17/2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Real-world tasks often exhibit a compositional structure that contains a...
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05/02/2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
We present the Open Graph Benchmark (OGB), a diverse set of challenging ...
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02/17/2020
Entity Context and Relational Paths for Knowledge Graph Completion
Knowledge graph completion aims to predict missing relations between ent...
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02/14/2020
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Answering complex logical queries on large-scale incomplete knowledge gr...
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11/08/2018
Bias and Generalization in Deep Generative Models: An Empirical Study
In high dimensional settings, density estimation algorithms rely crucial...
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07/26/2018
Multi-Agent Generative Adversarial Imitation Learning
Imitation learning algorithms can be used to learn a policy from expert ...
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05/27/2018
Adversarial Constraint Learning for Structured Prediction
Constraint-based learning reduces the burden of collecting labels by hav...
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12/14/2017