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05/31/2023
Explanations as Features: LLM-Based Features for Text-Attributed Graphs
Representation learning on text-attributed graphs (TAGs) has become a cr...
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05/25/2023
Feature Collapse
We formalize and study a phenomenon called feature collapse that makes p...
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12/27/2022
A Generalization of ViT/MLP-Mixer to Graphs
Graph Neural Networks (GNNs) have shown great potential in the field of ...
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06/26/2022
Semantic Role Aware Correlation Transformer for Text to Video Retrieval
With the emergence of social media, voluminous video clips are uploaded ...
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06/01/2022
Learning to Untangle Genome Assembly with Graph Convolutional Networks
A quest to determine the complete sequence of a human DNA from telomere ...
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05/29/2022
A Model of One-Shot Generalization
We provide a theoretical framework to study a phenomenon that we call on...
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03/02/2022
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
The traveling salesman problem is a fundamental combinatorial optimizati...
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10/15/2021
Graph Neural Networks with Learnable Structural and Positional Representations
Graph neural networks (GNNs) have become the standard learning architect...
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03/04/2021
The Transformer Network for the Traveling Salesman Problem
The Traveling Salesman Problem (TSP) is the most popular and most studie...
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12/18/2020
An Experimental Study of the Transferability of Spectral Graph Networks
Spectral graph convolutional networks are generalizations of standard co...
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12/17/2020
A Generalization of Transformer Networks to Graphs
We propose a generalization of transformer neural network architecture f...
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06/12/2020
Learning TSP Requires Rethinking Generalization
End-to-end training of neural network solvers for combinatorial problems...
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03/02/2020
Benchmarking Graph Neural Networks
Graph neural networks (GNNs) have become the standard toolkit for analyz...
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12/24/2019
Multi-Graph Transformer for Free-Hand Sketch Recognition
Learning meaningful representations of free-hand sketches remains a chal...
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10/16/2019
On Learning Paradigms for the Travelling Salesman Problem
We explore the impact of learning paradigms on training deep neural netw...
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06/08/2019
A Two-Step Graph Convolutional Decoder for Molecule Generation
We propose a simple auto-encoder framework for molecule generation. The ...
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06/04/2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
This paper introduces a new learning-based approach for approximately so...
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04/15/2019
GraphTSNE: A Visualization Technique for Graph-Structured Data
We present GraphTSNE, a novel visualization technique for graph-structur...
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11/20/2017
Residual Gated Graph ConvNets
Graph-structured data such as functional brain networks, social networks...
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04/22/2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Matrix completion models are among the most common formulations of recom...
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12/22/2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
This paper introduces Graph Convolutional Recurrent Network (GCRN), a de...
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06/30/2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
In this work, we are interested in generalizing convolutional neural net...
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01/08/2016
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation
This work formulates a novel song recommender system as a matrix complet...
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06/19/2015
Enhanced Lasso Recovery on Graph
This work aims at recovering signals that are sparse on graphs. Compress...
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04/23/2015
Robust Principal Component Analysis on Graphs
Principal Component Analysis (PCA) is the most widely used tool for line...
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12/27/2014
Functional correspondence by matrix completion
In this paper, we consider the problem of finding dense intrinsic corres...
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11/24/2014
Consistency of Cheeger and Ratio Graph Cuts
This paper establishes the consistency of a family of graph-cut-based al...
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08/07/2014
Matrix Completion on Graphs
The problem of finding the missing values of a matrix given a few of its...
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06/05/2013
Multiclass Total Variation Clustering
Ideas from the image processing literature have recently motivated a new...
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10/11/2012
