research
∙
09/05/2023
Robust Recommender System: A Survey and Future Directions
With the rapid growth of information, recommender systems have become in...
share
research
∙
08/25/2023
Significant-attributed Community Search in Heterogeneous Information Networks
Community search is a personalized community discovery problem aimed at ...
research
∙
08/18/2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
The data-hungry problem, characterized by insufficiency and low-quality ...
research
∙
07/21/2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Graph domain adaptation models are widely adopted in cross-network learn...
research
∙
07/07/2023
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction
With an exponential increase in submissions to top-tier Computer Science...
research
∙
05/25/2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
The generalization of neural networks is a central challenge in machine ...
research
∙
05/25/2023
IDEA: Invariant Causal Defense for Graph Adversarial Robustness
Graph neural networks (GNNs) have achieved remarkable success in various...
research
∙
05/24/2023
LLMDet: A Large Language Models Detection Tool
With the advancement of generative language models, the generated text h...
research
∙
05/22/2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
Multi-aspect controllable text generation aims to generate fluent senten...
research
∙
05/18/2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
Language models trained on large-scale corpora can generate remarkably f...
research
∙
05/18/2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Dense retrieval has shown promise in the first-stage retrieval process w...
research
∙
05/09/2023
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Recommender systems often suffer from popularity bias, where popular ite...
research
∙
04/28/2023
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
With the wide application of Large Language Models (LLMs) such as ChatGP...
research
∙
04/07/2023
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method
The development of knowledge graph (KG) applications has led to a rising...
research
∙
02/16/2023
Graph Adversarial Immunization for Certifiable Robustness
Despite achieving great success, graph neural networks (GNNs) are vulner...
research
∙
02/05/2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...
research
∙
02/02/2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Graphs consisting of vocal nodes ("the vocal minority") and silent nodes...
research
∙
01/31/2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Company financial risk is ubiquitous and early risk assessment for liste...
research
∙
01/29/2023
Multi-video Moment Ranking with Multimodal Clue
Video corpus moment retrieval (VCMR) is the task of retrieving a relevan...
research
∙
01/10/2023
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
Current natural language understanding (NLU) models have been continuous...
research
∙
12/01/2022
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework
Information retrieval aims to find information that meets users' needs f...
research
∙
11/20/2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Graph contrastive learning (GCL) emerges as the most representative appr...
research
∙
10/19/2022
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning
Unsupervised representation learning for dynamic graphs has attracted a ...
research
∙
08/03/2022
Adversarial Camouflage for Node Injection Attack on Graphs
Node injection attacks against Graph Neural Networks (GNNs) have receive...
research
∙
07/04/2022
Learning node embeddings via summary graphs: a brief theoretical analysis
Graph representation learning plays an important role in many graph mini...
research
∙
06/27/2022
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Stance detection aims to identify whether the author of a text is in fav...
research
∙
05/31/2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Training generative adversarial networks (GANs) with limited data is val...
research
∙
04/25/2022
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
Pseudo-relevance feedback (PRF) has proven to be an effective query refo...
research
∙
04/18/2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Given a multivariate big time series, can we detect anomalies as soon as...
research
∙
04/06/2022
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Text matching is a fundamental technique in both information retrieval a...
research
∙
03/22/2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
The expressive power of message passing GNNs is upper-bounded by Weisfei...
research
∙
09/16/2021
Transductive Learning for Unsupervised Text Style Transfer
Unsupervised style transfer models are mainly based on an inductive lear...
research
∙
09/14/2021
Adaptive Information Seeking for Open-Domain Question Answering
Information seeking is an essential step for open-domain question answer...
research
∙
08/30/2021
Single Node Injection Attack against Graph Neural Networks
Node injection attack on Graph Neural Networks (GNNs) is an emerging and...
research
∙
08/22/2021
Signed Bipartite Graph Neural Networks
Signed networks are such social networks having both positive and negati...
research
∙
07/21/2021
cGANs with Auxiliary Discriminative Classifier
Conditional generative models aim to learn the underlying joint distribu...
research
∙
07/12/2021
Inductive Representation Based Graph Convolution Network for Collaborative Filtering
In recent years, graph neural networks (GNNs) have shown powerful abilit...
research
∙
06/16/2021
Self-supervised GANs with Label Augmentation
Recently, transformation-based self-supervised learning has been applied...
research
∙
04/21/2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Knowledge Graph (KG) reasoning that predicts missing facts for incomplet...
research
∙
04/19/2021
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction
Nowadays, users are encouraged to activate across multiple online social...
research
∙
03/23/2021
CubeFlow: Money Laundering Detection with Coupled Tensors
Money laundering (ML) is the behavior to conceal the source of money ach...
research
∙
03/19/2021
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Nowadays online users prefer to join multiple social media for the purpo...
research
∙
01/07/2021
SDGNN: Learning Node Representation for Signed Directed Networks
Network embedding is aimed at mapping nodes in a network into low-dimens...
research
∙
01/04/2021
Beyond Low-frequency Information in Graph Convolutional Networks
Graph neural networks (GNNs) have been proven to be effective in various...
research
∙
12/21/2020
Learning content and context with language bias for Visual Question Answering
Visual Question Answering (VQA) is a challenging multimodal task to answ...
research
∙
12/20/2020
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension
Reference expression comprehension (REC) aims to find the location that ...
research
∙
12/10/2020
Slimmable Generative Adversarial Networks
Generative adversarial networks (GANs) have achieved remarkable progress...
research
∙
12/03/2020
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
How can we track synchronized behavior in a stream of time-stamped tuple...
research
∙
07/27/2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Graph neural networks (GNNs) achieve remarkable success in graph-based s...
research
∙
07/19/2020
