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09/20/2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query perso...
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08/20/2023
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Despite significant progress in Text-to-Image (T2I) generative models, e...
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06/30/2023
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
As malicious actors employ increasingly advanced and widespread bots to ...
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04/22/2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
Online movie review platforms are providing crowdsourced feedback for th...
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04/13/2023
Noisy Correspondence Learning with Meta Similarity Correction
Despite the success of multimodal learning in cross-modal retrieval task...
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11/29/2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Few-shot learning (FSL), which aims to classify unseen classes with few ...
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10/15/2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Modeling the ideological perspectives of political actors is an essentia...
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08/18/2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search
Current Graph Neural Networks (GNNs) suffer from the over-smoothing prob...
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08/17/2022
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
Twitter bot detection is an important and meaningful task. Existing text...
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08/17/2022
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Graph anomaly detection on attributed networks has become a prevalent re...
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08/16/2022
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
Knowledge Graph Embeddings (KGE) aim to map entities and relations to lo...
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06/09/2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Twitter bot detection has become an increasingly important task to comba...
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05/20/2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Due to the superior performance of Graph Neural Networks (GNNs) in vario...
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05/16/2022
Noise-Tolerant Learning for Audio-Visual Action Recognition
Recently, video recognition is emerging with the help of multi-modal lea...
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04/08/2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
Political perspective detection has become an increasingly important tas...
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03/27/2022
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search
Recently, weakly supervised person search is proposed to discard human-a...
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01/21/2022
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization
Recent studies have shown that GNNs are vulnerable to adversarial attack...
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10/22/2021
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method
Graph convolutional networks (GCNs) have been widely adopted for graph r...
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10/12/2021
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Multimedia event detection is the task of detecting a specific event of ...
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08/09/2021
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
Political stance detection has become an important task due to the incre...
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08/09/2021
Knowledge Graph Augmented Political Perspective Detection in News Media
Identifying political perspective in news media has become an important ...
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01/26/2021
Towards Entity Alignment in the Open World: An Unsupervised Approach
Entity alignment (EA) aims to discover the equivalent entities in differ...
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09/24/2020
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes
Linear discriminant analysis (LDA) is a popular technique to learn the m...
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04/22/2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Recent studies have shown that graph convolution networks (GCNs) are vul...
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03/12/2020
ZSTAD: Zero-Shot Temporal Activity Detection
An integral part of video analysis and surveillance is temporal activity...
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03/03/2020
Self-Supervised Graph Representation Learning via Global Context Prediction
To take full advantage of fast-growing unlabeled networked data, this pa...
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02/04/2020
Graph Representation Learning via Graphical Mutual Information Maximization
The richness in the content of various information networks such as soci...
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02/04/2017