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09/08/2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents
Graph structured data are widely existed and applied in the real-world a...
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08/21/2023
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models
After the inception of emotion recognition or affective computing, it ha...
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06/13/2023
Automated 3D Pre-Training for Molecular Property Prediction
Molecular property prediction is an important problem in drug discovery ...
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04/28/2023
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
Weather recognition is an essential support for many practical life appl...
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04/27/2023
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression
The meteorological radar reflectivity data, also known as echo, plays a ...
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03/07/2023
Exploring the Feasibility of ChatGPT for Event Extraction
Event extraction is a fundamental task in natural language processing th...
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02/17/2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
In recent years, Graph Neural Networks (GNNs) have been popular in the g...
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01/06/2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
We present Mask-then-Fill, a flexible and effective data augmentation fr...
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11/20/2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
In recent years, Graph Neural Networks (GNNs) have been popular in graph...
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10/26/2022
TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challenge
This paper describes the TSUP team's submission to the ISCSLP 2022 conve...
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07/13/2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Aiming at two molecular graph datasets and one protein association subgr...
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07/05/2022
Backend Ensemble for Speaker Verification and Spoofing Countermeasure
This paper describes the NPU system submitted to Spoofing Aware Speaker ...
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04/06/2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020
Graph structured data is ubiquitous in daily life and scientific areas a...
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03/15/2022
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
Representations of events described in text are important for various ta...
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02/18/2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Heterogeneous Graph Neural Network (HGNN) has been successfully employed...
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01/04/2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction
Double-strand DNA breaks (DSBs) are a form of DNA damage that can cause ...
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12/29/2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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12/27/2021
Learn Layer-wise Connections in Graph Neural Networks
In recent years, Graph Neural Networks (GNNs) have shown superior perfor...
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11/04/2021
Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project
Through capturing spectral data from a wide frequency range along with t...
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10/13/2021
Transformers for EEG Emotion Recognition
Electroencephalogram (EEG) can objectively reflect emotional state and c...
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10/12/2021
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone
Obtaining standardized crowdsourced benchmark of computational methods i...
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09/08/2021
Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021
In this report, we describe the Beijing ZKJ-NPU team submission to the V...
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08/24/2021
Pooling Architecture Search for Graph Classification
Graph classification is an important problem with applications across ma...
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08/20/2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
Tabular data prediction (TDP) is one of the most popular industrial appl...
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04/14/2021
Search to aggregate neighborhood for graph neural network
Recent years have witnessed the popularity and success of graph neural n...
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10/02/2020
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Mass spectrometry is a widespread approach to work out what are the cons...
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08/26/2020
Simplifying Architecture Search for Graph Neural Network
Recent years have witnessed the popularity of Graph Neural Networks (GNN...
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02/11/2020
Vertex-reinforced Random Walk for Network Embedding
In this paper, we study the fundamental problem of random walk for netwo...
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08/26/2019
Motif Enhanced Recommendation over Heterogeneous Information Network
Heterogeneous Information Networks (HIN) has been widely used in recomme...
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05/28/2019
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
An effective content recommendation in modern social media platforms sho...
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05/15/2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Deep learning based methods have been widely used in industrial recommen...
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05/06/2019
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Increasing demand for fashion recommendation raises a lot of challenges ...
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04/17/2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Industrial recommender systems usually consist of the matching stage and...
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03/06/2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Recommender systems (RSs) have been the most important technology for in...
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01/08/2018