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09/18/2023
On a Continuum Model for Random Genetic Drift: A Dynamical Boundary Condition Approach
We propose a new continuum model for a random genetic drift problem by e...
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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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05/24/2023
A Causal View of Entity Bias in (Large) Language Models
Entity bias widely affects pretrained (large) language models, causing t...
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05/22/2023
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts
Entity names play an effective role in relation extraction (RE) and ofte...
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05/05/2023
RECIPE: Rateless Erasure Codes Induced by Protocol-Based Encoding
LT (Luby transform) codes are a celebrated family of rateless erasure co...
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11/29/2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Air pollution is a crucial issue affecting human health and livelihoods,...
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09/17/2022
Flashlight: Scalable Link Prediction with Effective Decoders
Link prediction (LP) has been recognized as an important task in graph l...
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06/15/2022
Energetic Variational Neural Network Discretizations to Gradient Flows
We propose structure-preserving neural-network-based numerical schemes t...
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05/08/2022
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
Entity types and textual context are essential properties for sentence-l...
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05/08/2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Recent literature focuses on utilizing the entity information in the sen...
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05/05/2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
We study dangling-aware entity alignment in knowledge graphs (KGs), whic...
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04/19/2022
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs
Learning neural ODEs often requires solving very stiff ODE systems, prim...
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02/22/2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Graph neural networks (GNNs) are widely used for modelling graph-structu...
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12/21/2021
On a deterministic particle-FEM discretization to micro-macro models of dilute polymeric fluids
In this paper, we propose a deterministic particle-FEM discretization to...
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12/18/2021
Time-Aware Neighbor Sampling for Temporal Graph Networks
We present a new neighbor sampling method on temporal graphs. In a tempo...
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12/01/2021
Structure-Aware Label Smoothing for Graph Neural Networks
Representing a label distribution as a one-hot vector is a common practi...
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11/21/2021
Low-Discrepancy Points via Energetic Variational Inference
In this paper, we propose a deterministic variational inference approach...
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09/07/2021
A second-order accurate, operator splitting scheme for reaction-diffusion systems in an energetic variational formulation
A second-order accurate in time, positivity-preserving, and unconditiona...
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05/19/2021
Convergence analysis of the variational operator splitting scheme for a reaction-diffusion system with detailed balance
We present a detailed convergence analysis for an operator splitting sch...
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01/25/2021
A two species micro-macro model of wormlike micellar solutions and its maximum entropy closure approximations: An energetic variational approach
Wormlike micelles are self-assemblies of polymer chains that can break a...
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12/13/2020
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes
Node classification on graph data is an important task on many practical...
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10/30/2020
A Structure-preserving, Operator Splitting Scheme for Reaction-Diffusion Equations Involving the Law of Mass Action
In this paper, we propose and analyze a positivity-preserving, energy st...
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09/22/2020
GraphCrop: Subgraph Cropping for Graph Classification
We present a new method to regularize graph neural networks (GNNs) for b...
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04/14/2020
Particle-based Energetic Variational Inference
We introduce a new variational inference framework, called energetic var...
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03/23/2020
A Variational Lagrangian Scheme for a Phase Field Model: A Discrete Energetic Variational Approach
In this paper, we propose a variational Lagrangian scheme for a modified...
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01/28/2019