William L. Hamilton

research

∙ 09/20/2021

Edge-similarity-aware Graph Neural Networks

Graph are a ubiquitous data representation, as they represent a flexible...

0 Vincent Mallet, et al. ∙

research

∙ 07/22/2021

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks

Graph neural networks (GNNs) have achieved remarkable success as a frame...

19 Dylan Sandfelder, et al. ∙

research

∙ 06/23/2021

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Conventional representation learning algorithms for knowledge graphs (KG...

0 Mikhail Galkin, et al. ∙

research

∙ 05/17/2021

Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) mod...

21 Stephen Bonner, et al. ∙

research

∙ 03/02/2021

Online Adversarial Attacks

Adversarial attacks expose important vulnerabilities of deep learning mo...

0 Andjela Mladenovic, et al. ∙

research

∙ 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...

2 Dora Jambor, et al. ∙

research

∙ 02/01/2021

Neural representation and generation for RNA secondary structures

Our work is concerned with the generation and targeted design of RNA, a ...

0 Zichao Yan, et al. ∙

research

∙ 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...

0 Greta Laage, et al. ∙

research

∙ 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...

0 Devendra Singh Sachan, et al. ∙

research

∙ 10/07/2020

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Inferring missing facts in temporal knowledge graphs (TKGs) is a fundame...

0 Jiapeng Wu, et al. ∙

research

∙ 10/06/2020

Directional Graph Networks

In order to overcome the expressive limitations of graph neural networks...

0 Dominique Beaini, et al. ∙

research

∙ 09/23/2020

Structure Aware Negative Sampling in Knowledge Graphs

Learning low-dimensional representations for entities and relations in k...

4 Kian Ahrabian, et al. ∙

research

∙ 09/01/2020

VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA

Motivation: RNAs are ubiquitous molecules involved in many regulatory an...

0 Carlos Oliver, et al. ∙

research

∙ 07/01/2020

Adversarial Example Games

The existence of adversarial examples capable of fooling trained neural ...

13 Avishek Joey Bose, et al. ∙

research

∙ 05/01/2020

Learning an Unreferenced Metric for Online Dialogue Evaluation

Evaluating the quality of a dialogue interaction between two agents is a...

0 Koustuv Sinha, et al. ∙

research

∙ 03/14/2020

Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...

9 Koustuv Sinha, et al. ∙

research

∙ 02/21/2020

Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games

Playing text-based games requires skill in processing natural language a...

0 Ashutosh Adhikari, et al. ∙

research

∙ 02/15/2020

Latent Variable Modelling with Hyperbolic Normalizing Flows

The choice of approximate posterior distributions plays a central role i...

10 Avishek Joey Bose, et al. ∙

research

∙ 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...

0 Avishek Joey Bose, et al. ∙

research

∙ 11/16/2019

Inductive Relation Prediction on Knowledge Graphs

Inferring missing edges in multi-relational knowledge graphs is a fundam...

0 Komal K. Teru, et al. ∙

research

∙ 10/02/2019

Efficient Graph Generation with Graph Recurrent Attention Networks

We propose a new family of efficient and expressive deep generative mode...

16 Renjie Liao, et al. ∙

research

∙ 08/16/2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...

1 Koustuv Sinha, et al. ∙

research

∙ 06/24/2019

Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia

Despite continuing medical advances, the rate of newborn morbidity and m...

0 Charles C Onu, et al. ∙

research

∙ 11/07/2018

Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...

0 Koustuv Sinha, et al. ∙

research

∙ 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...

0 Christopher Morris, et al. ∙

research

∙ 09/27/2018

Deep Graph Infomax

We present Deep Graph Infomax (DGI), a general approach for learning nod...

4 Petar Veličković, et al. ∙

research

∙ 06/22/2018

Hierarchical Graph Representation Learning with Differentiable Pooling

Recently, graph neural networks (GNNs) have revolutionized the field of ...

2 Rex Ying, et al. ∙

research

∙ 06/22/2018

Hierarchical Graph Representation Learning withDifferentiable Pooling

Recently, graph neural networks (GNNs) have revolutionized the field of ...

0 Rex Ying, et al. ∙

research

∙ 06/06/2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Recent advancements in deep neural networks for graph-structured data ha...

2 Rex Ying, et al. ∙

research

∙ 06/05/2018

Querying Complex Networks in Vector Space

Learning vector embeddings of complex networks is a powerful approach us...

0 William L. Hamilton, et al. ∙

research

∙ 03/09/2018

Community Interaction and Conflict on the Web

Users organize themselves into communities on web platforms. These commu...

0 Srijan Kumar, et al. ∙

research

∙ 02/24/2018

GraphRNN: A Deep Generative Model for Graphs

Modeling and generating graphs is fundamental for studying networks in b...

0 Jiaxuan You, et al. ∙

research

∙ 06/07/2017

Inductive Representation Learning on Large Graphs

Low-dimensional embeddings of nodes in large graphs have proved extremel...

0 William L. Hamilton, et al. ∙

research

∙ 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...

0 Justine Zhang, et al. ∙

research

∙ 03/09/2017

Loyalty in Online Communities

Loyalty is an essential component of multi-community engagement. When us...

0 William L. Hamilton, et al. ∙

research

∙ 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...

0 William L. Hamilton, et al. ∙

research

∙ 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...

0 William L. Hamilton, et al. ∙

research

∙ 05/30/2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Understanding how words change their meanings over time is key to models...

0 William L. Hamilton, et al. ∙

research

∙ 12/01/2013

Efficient Learning and Planning with Compressed Predictive States

Predictive state representations (PSRs) offer an expressive framework fo...

0 William L. Hamilton, et al. ∙

William L. Hamilton

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