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08/29/2023
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Temporal knowledge graphs, representing the dynamic relationships and in...
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08/16/2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Graph Neural Network (GNN) has demonstrated extraordinary performance in...
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06/08/2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domai...
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06/04/2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
Researchers usually come up with new ideas only after thoroughly compreh...
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05/24/2023
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator
The transformer model is known to be computationally demanding, and proh...
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05/21/2023
Towards Tracing Code Provenance with Code Watermarking
Recent advances in large language models have raised wide concern in gen...
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05/18/2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Data with missing values is ubiquitous in many applications. Recent year...
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04/14/2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
The pandemic of COVID-19 has inspired extensive works across different r...
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04/10/2023
Asymmetric Polynomial Loss For Multi-Label Classification
Various tasks are reformulated as multi-label classification problems, i...
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04/03/2023
FMGNN: Fused Manifold Graph Neural Network
Graph representation learning has been widely studied and demonstrated e...
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04/02/2023
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
In the research of end-to-end dialogue systems, using real-world knowled...
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02/24/2023
Few-Shot Table-to-Text Generation with Prompt-based Adapter
Pre-trained language models (PLMs) have made remarkable progress in tabl...
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02/19/2023
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
Real-world data usually exhibits a long-tailed distribution,with a few f...
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02/09/2023
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization
Pre-trained language models (PLM) have achieved remarkable advancement i...
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02/03/2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Most graph neural networks follow the message passing mechanism. However...
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10/21/2022
Syntax-guided Localized Self-attention by Constituency Syntactic Distance
Recent works have revealed that Transformers are implicitly learning the...
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09/27/2022
IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications
Understanding the origin and influence of the publication's idea is crit...
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09/22/2022
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction...
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09/04/2022
Disentangled Graph Contrastive Learning for Review-based Recommendation
User review data is helpful in alleviating the data sparsity problem in ...
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05/27/2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
With the tremendous expansion of graphs data, node classification shows ...
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05/27/2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Spatio-temporal graph learning is a key method for urban computing tasks...
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05/14/2022
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Relational structures such as schema linking and schema encoding have be...
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04/28/2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
Training deep learning (DL) models has become a norm. With the emergence...
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02/24/2022
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
Training Transformer-based models demands a large amount of data, while ...
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02/15/2022
User-Oriented Robust Reinforcement Learning
Recently, improving the robustness of policies across different environm...
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11/10/2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
In recent years, multi-agent reinforcement learning (MARL) has presented...
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10/05/2021
Networked Time Series Prediction with Incomplete Data
A networked time series (NETS) is a family of time series on a given gra...
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08/07/2021
Scientific X-ray
The rapid development of modern science and technology has spawned rich ...
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06/24/2021
Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trai...
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06/05/2021
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
The pursuit of knowledge is the permanent goal of human beings. Scientif...
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04/30/2021
Improved Matrix Gaussian Mechanism for Differential Privacy
The wide deployment of machine learning in recent years gives rise to a ...
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02/19/2021
On the Similarity between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications
The von Neumann graph entropy is a measure of graph complexity based on ...
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01/13/2021
Overlapping Community Detection in Temporal Text Networks
Analyzing the groups in the network based on same attributes, functions ...
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10/21/2020
A Distributional Robustness Certificate by Randomized Smoothing
The robustness of deep neural networks against adversarial example attac...
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10/09/2020
High-Order Relation Construction and Mining for Graph Matching
Graph matching pairs corresponding nodes across two or more graphs. The ...
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10/03/2020
Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
Influence maximization (IM) aims at maximizing the spread of influence b...
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02/23/2020
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Author name ambiguity causes inadequacy and inconvenience in academic in...
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05/30/2019
Information Source Detection with Limited Time Knowledge
This paper investigates the problem of utilizing network topology and pa...
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04/02/2019
On Geometric Structure of Activation Spaces in Neural Networks
In this paper, we investigate the geometric structure of activation spac...
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01/20/2019
CommunityGAN: Community Detection with Generative Adversarial Nets
Community detection refers to the task of discovering groups of vertices...
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07/23/2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Most existing knowledge graphs (KGs) in academic domains suffer from pro...
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10/19/2017
SERENADE: A Parallel Randomized Algorithm Suite for Crossbar Scheduling in Input-Queued Switches
Most of today's high-speed switches and routers adopt an input-queued cr...
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10/18/2017
Maximum Value Matters: Finding Hot Topics in Scholarly Fields
Finding hot topics in scholarly fields can help researchers to keep up w...
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10/02/2016
