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07/12/2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Neural Architecture Search (NAS) has shown promising capability in learn...
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05/25/2023
TabGSL: Graph Structure Learning for Tabular Data Prediction
This work presents a novel approach to tabular data prediction leveragin...
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05/24/2023
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning
Unsupervised learning has grown in popularity because of the difficulty ...
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05/19/2023
GraphFC: Customs Fraud Detection with Label Scarcity
Custom officials across the world encounter huge volumes of transactions...
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11/16/2021
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
While Wikipedia has been utilized for fact-checking and claim verificati...
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06/22/2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
Recent advances in protecting node privacy on graph data and attacking g...
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06/18/2021
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks
Financial technology (FinTech) has drawn much attention among investors ...
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06/17/2021
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding
Attributed network embedding (ANE) is to learn low-dimensional vectors s...
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04/10/2021
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
While relation extraction is an essential task in knowledge acquisition ...
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01/29/2021
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
Forecasting spatio-temporal correlated time series of sensor values is c...
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01/29/2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
Sequential recommendation (SR) is to accurately recommend a list of item...
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10/26/2020
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network
Heterogeneous Information Networks (HINs), involving a diversity of node...
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10/09/2020
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
In the computational detection of cyberbullying, existing work largely f...
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10/01/2020
Adaptive Multi-grained Graph Neural Networks
Graph Neural Networks (GNNs) have been increasingly deployed in a multit...
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09/08/2020
Hierarchical Message-Passing Graph Neural Networks
Graph Neural Networks (GNNs) have become a promising approach to machine...
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04/24/2020
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
This paper solves the fake news detection problem under a more realistic...
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02/26/2020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Unsupervised embedding learning aims to extract good representation from...
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02/12/2018