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09/20/2021
Edge-similarity-aware Graph Neural Networks
Graph are a ubiquitous data representation, as they represent a flexible...
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07/22/2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Graph neural networks (GNNs) have achieved remarkable success as a frame...
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06/23/2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Conventional representation learning algorithms for knowledge graphs (KG...
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05/17/2021
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) mod...
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03/02/2021
Online Adversarial Attacks
Adversarial attacks expose important vulnerabilities of deep learning mo...
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02/05/2021
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
Real-world knowledge graphs are often characterized by low-frequency rel...
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02/01/2021
Neural representation and generation for RNA secondary structures
Our work is concerned with the generation and targeted design of RNA, a ...
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01/13/2021
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application
Airlines have been making use of highly complex Revenue Management Syste...
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01/02/2021
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Recent work on training neural retrievers for open-domain question answe...
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10/07/2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Inferring missing facts in temporal knowledge graphs (TKGs) is a fundame...
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10/06/2020
Directional Graph Networks
In order to overcome the expressive limitations of graph neural networks...
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09/23/2020
Structure Aware Negative Sampling in Knowledge Graphs
Learning low-dimensional representations for entities and relations in k...
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09/01/2020
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
Motivation: RNAs are ubiquitous molecules involved in many regulatory an...
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07/01/2020
Adversarial Example Games
The existence of adversarial examples capable of fooling trained neural ...
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05/01/2020
Learning an Unreferenced Metric for Online Dialogue Evaluation
Evaluating the quality of a dialogue interaction between two agents is a...
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03/14/2020
Evaluating Logical Generalization in Graph Neural Networks
Recent research has highlighted the role of relational inductive biases ...
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02/21/2020
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games
Playing text-based games requires skill in processing natural language a...
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02/15/2020
Latent Variable Modelling with Hyperbolic Normalizing Flows
The choice of approximate posterior distributions plays a central role i...
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12/20/2019
Meta-Graph: Few shot Link Prediction via Meta Learning
Fast adaptation to new data is one key facet of human intelligence and i...
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11/16/2019
Inductive Relation Prediction on Knowledge Graphs
Inferring missing edges in multi-relational knowledge graphs is a fundam...
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10/02/2019
Efficient Graph Generation with Graph Recurrent Attention Networks
We propose a new family of efficient and expressive deep generative mode...
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08/16/2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
The recent success of natural language understanding (NLU) systems has b...
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06/24/2019
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Despite continuing medical advances, the rate of newborn morbidity and m...
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11/07/2018
Compositional Language Understanding with Text-based Relational Reasoning
Neural networks for natural language reasoning have largely focused on e...
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10/04/2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
In recent years, graph neural networks (GNNs) have emerged as a powerful...
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09/27/2018
Deep Graph Infomax
We present Deep Graph Infomax (DGI), a general approach for learning nod...
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06/22/2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Recently, graph neural networks (GNNs) have revolutionized the field of ...
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06/22/2018
Hierarchical Graph Representation Learning withDifferentiable Pooling
Recently, graph neural networks (GNNs) have revolutionized the field of ...
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06/06/2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Recent advancements in deep neural networks for graph-structured data ha...
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06/05/2018
Querying Complex Networks in Vector Space
Learning vector embeddings of complex networks is a powerful approach us...
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03/09/2018
Community Interaction and Conflict on the Web
Users organize themselves into communities on web platforms. These commu...
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02/24/2018
GraphRNN: A Deep Generative Model for Graphs
Modeling and generating graphs is fundamental for studying networks in b...
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06/07/2017
Inductive Representation Learning on Large Graphs
Low-dimensional embeddings of nodes in large graphs have proved extremel...
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05/26/2017
Community Identity and User Engagement in a Multi-Community Landscape
A community's identity defines and shapes its internal dynamics. Our cur...
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03/09/2017
Loyalty in Online Communities
Loyalty is an essential component of multi-community engagement. When us...
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06/09/2016
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
Words shift in meaning for many reasons, including cultural factors like...
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06/09/2016
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
A word's sentiment depends on the domain in which it is used. Computatio...
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05/30/2016
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
Understanding how words change their meanings over time is key to models...
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12/01/2013